Applied sciences

Archives of Foundry Engineering

Content

Archives of Foundry Engineering | Accepted articles

Download PDF Download RIS Download Bibtex

Abstract

One of the major limitations of using molten salts for CO2 capture processes from industrial gas streams is the availability of construction materials with adequate corrosion resistance. This is due to the high operating temperature of the process and the aggressive environment of chloride-fluoride molten salts. In this study, the influence of temperature and a molten, eutectic mixture of CaCl2 - CaF2 with the addition of 10 wt.% CaO on the behavior of SS316 steel was evaluated. Tests were conducted at 700 °C and 950 °C for 40, 80, and 120 hours. Material samples were weighed before and after the tests, and selected samples underwent microscopic analysis (SEM, EDS), measurements of the corrosion product layer thickness, and wall thickness. The corrosion rate of SS316 steel was also determined. The results showed, among other findings, that at 700 °C, mass losses were minimal (max. 0.5%), and the corrosion layer had an average thickness not exceeding 8.2 μm. At 950 °C, mass loss increased to 3.85%, and the corrosion product layer reached an average thickness of 83 μm. Intergranular corrosion was also observed, along with enrichment of the corrosion layer with salt elements (Ca, O, Cl) and steel alloying elements (Cr, Ni). Additionally, segregation of Cr, Mn, and Mo was noted at grain boundaries. The calculated corrosion rate of SS316 steel at 700 °C was 171 μm/year, while at 950 °C, it was significantly higher at 1540 μm/year.
Go to article

Bibliography

  • Tang, Z. & Tao, W.Q. (2023). Strength analysis of molten salt tanks for concentrating solar power plants. Energy Storage and Saving. 2(4), 571-577. DOI: 10.1016/j.enss.2023.08.003.
  • Russo, V., Petroni, G., Rovense, F., Giorgetti, M., Napoli, G., Giorgi, G. & Gaggioli, W. (2025). Experimental testing results on critical components for molten salt-based CSP systems. 18(1), 198, 1-21. DOI: 10.3390/en18010198.
  • Serp, J., Allibert, M., Beneš, O., Delpech, S., Feynberg, O., Ghetta, V., Heuer, D., Holcomb, D., Ignatiev, W., Kloosterman, J.L., Luzzi, L., Merle-Lucotte, E., Uhlíř, J., Yoshionka, R. & Zhimin, D. (2014). The molten salt reactor (MSR) ingeneration IV: Overview and perspectives. Progress in Nuclear Energy. 77, 308-319. https://doi.org/10.1016/j.pnucene.2014.02.014.
  • Noori-Kalkhoran, O., Jain, L. & Merk, B. (2024). On the use of a chloride or fluoride salt fuel system in advanced molten salt reactors, part 3; radiation damage. Energies (Basel). 17(19), 4772, 1-14. DOI: 10.3390/en17194772.
  • Arcos, C., Guerra, C., Ramos-Grez, J.A. & Sancy, M. (2023). Ni-Al bronze in molten carbonate manufactured by LPBF: effect of porosity design on mechanical properties and oxidation. 16(10), 3893, 1-15. DOI: 10.3390/ma16103893.
  • Quadros, J.D., Khan, S.A., Mohin, M., Mogul, Y.I., Aabid, A., Baig, M. & Ahmed, O.S. (2023). Heat transfer of Ca (NO3)2-KNO3 molten salt mixtures for austempering and martempering processes of steels. ACS Omega. 9(15), 17266-17275. DOI: 10.1021/acsomega.3c10262.
  • Zhang, J., Yan, H., Liu, Z., Guo, S., Yang, Y., Yang, G., Xia,R., Hu, M. & Li, L. (2024). Progress in research and application of molten salt electrolysis for titanium extraction. Journal of Electrochemical Society. 171(8), 082502, 1-16. DOI: 10.1149/1945-7111/ad6d95.
  • Pietrzyk, S., Palima̧ka, P. & Gȩbarowski, W. (2014). The effect of liquid aluminium on the corrosion of carbonaceous materials. Archives of Metallurgy and Materials. 59(2), 545-550. DOI: 10.2478/amm-2014-0090.
  • Palimąka, P. (2020). Thermal cleaning and melting of fine aluminium alloy chips. Archives of Foundry Engineering. 20(4), 91-96. DOI: 10.24425/afe.2020.133353.
  • Zhu, M., Zeng, S., Zhang, H., Li, J. & Cao, B. (2018). Electrochemical study on the corrosion behaviors of 316 SS in HITEC molten salt at different temperatures. Solar Energy Materials and Solar Cells. 186, 200-207 DOI: 10.1016/J.SOLMAT.2018.06.044.
  • Abu-Warda, N., García-Rodríguez, S., Torres, B., Utrilla, M.V. & Rams, J. (2024). Effect of Molten Salts Composition on the Corrosion Behavior of Additively Manufactured 316L Stainless Steel for Concentrating Solar Power. Metals (Basel). 14(6), 639, 1-18. DOI: 10.3390/met14060639.
  • Sandhi, K.K. & Szpunar, J. (2021). Analysis of corrosion of hastelloy-N, alloy x750, SS316 and SS304 in molten salt high-temperature environment. Energies (Basel). 14(3), 543, 1-10. DOI: 10.3390/en14030543.
  • Feng, J., Gao, J., Mao, L., Bedell, R. & Liu, E. (2024). Modeling the impact of grain size on corrosion behavior of Ni-based alloys in molten chloride salt via cellular automata. Metals . 14(8), 931, 1-12. DOI: 10.3390/met14080931.
  • Kettrakul, P., Siripongsakul, T., Kanjanaprayut, N., Wiman, P., Promdirek, P. (2023). Effect of Si addition in NiCrAl coating on corrosion in molten nitrate salt. Retrieved January 28, 2025, from https://doi.org/10.21203/rs.3.rs-3282513/v1.
  • Olsen, E. & Tomkute, V. (2013). Carbon capture in molten salts. Energy Science & Engineering. 1(3), 144-150. DOI: 10.1002/ese3.24.
  • Tomkute, V., Solheim, A. & Olsen, E. (2014). CO2 capture by CaO in molten CaF2-CaCl2: Optimization of the process and cyclability of CO2 capture. Energy and Fuels. 28(8), 5345-5353. DOI: 10.1021/ef5010896.
  • Palimąka, P., Pietrzyk, S., Balcerzak, M., Żaba, K.,Leszczyńska-Madej, B. & Jaskowska-Lemańska, J. (2024). Evaluation of the wear of Ni 200 alloy after long-term carbon capture in molten salts process. Materials. 17(24), 6302, 1-25. DOI: 10.3390/ma17246302.
  • Ding, W., Bonk, A. & Bauer, T. (2018). Corrosion behavior of metallic alloys in molten chloride salts for thermal energy storage in concentrated solar power plants: A review. Frontiers of Chemical Science and Engineering. 12, 564-576. DOI: 10.1007/s11705-018-1720-0.
  • Ma, H. (2003). Corrosion of Metallic Materials in High-temperature Chloride Salt Environment. Level of Thesis, Dalian University of Technology, Dalian, China.
  • Wang, M., Song, Z., Huihui, Z.  Zhu, M., Chengxin, L. & Boshuai. L. (2020). Corrosion behaviors of 316 stainless steel and Inconel 625 alloy in chloride molten salts for solar energy storage. High Temperature Materials and Processes. 39(1), 340-350. DOI: 10.1515/htmp-2020-0077.
  • Wei, Y., La, P., Zheng, Y., Zhan, F., Yu, H., Yang, P., Zhu, M., Bai, Z. & Gao, Y. (2025). Review of molten salt corrosion in stainless steels and superalloys. 15(3), 237, 1-33. DOI: 10.3390/cryst15030237.
  • HSC Chemistry v 7.0, Outotec Research
Go to article

Authors and Affiliations

P. Palimąka
1
ORCID: ORCID
B. Leszczyńska-Madej
1

  1. AGH University of Krakow, Poland
Download PDF Download RIS Download Bibtex

Abstract

Aluminium-silicon alloys are widely used in industrial practice due to their many advantages, including light weight and relatively high strength. The consumption of these light engineering materials is constantly increasing, especially in the automotive industry, due to new greenhouse gas (GHG) emission standards. The sustainable development strategy in the foundry industry is related to reducing the amount of waste and pollution generated during the production process. In turn, reducing the number of production shortages and waste requires the production of good quality Al-Si castings, and thus the appropriate selection and monitoring of technological parameters affecting the quality of the liquid alloy, including the level of purity and the degree of its gasification. The main objective of the research conducted to evaluate the technological properties of the AlSi12CuNiMg (AlSi12) alloy was to identify the causes of increased defect rates in piston castings during the production process at the Złotecki Sp. z o.o. The tests were carried out using two Al-Si alloys with silicon content close to eutectic (approx. 12%) used for piston castings, from two different suppliers. Three measurement methods were used to evaluate the technological properties of the tested AlSi12 alloys: thermal analysis, fluidity test and density index for gasification measurement. Based on the analysis of the results, it was concluded that an excessively low-density index level might be the cause of the increased casting defect rates observed in the production of pistons for internal combustion engines and compressors, particularly for castings with significant variations in wall thickness.
Go to article

Bibliography

  • Dispinar, D., Kvithyld, A. & Nordmark, A. (2011). Quality assessment of recycled aluminium. In Stephen J. Lindsay(Eds.), Light Metals 2011. Springer, Cham.731-735. DOI: 10.1007/978-3-319-48160-9_127.
  • Kasińska, J., Bolibruchová, D. & Matejka, M. (2020). The influence of remelting on the properties of AlSi9Cu3 alloy with higher iron content. Materials. 13(3), 575, 1-13. DOI:10.3390/ma13030575.
  • Dursun, T. & Soutis, C. (2014). Recent developments
    in advanced aircraft aluminium alloys. Materials and Design. 56, 862-871. DOI: 10.1016/j.matdes.2013.12.002.
  • Javidani, M. & Larouche, D. (2014). Application of cast Al–Si alloys in internal combustion engine components. International Materials Reviews. 59(3), 132-158. DOI:10.1179/1743280413Y.0000000027.
  • Orłowicz, A.W., Tupaj M., Mróz, M. & Trytek, S. (2015). Combustion Engine Cylinder Liners Made of Al-Si Alloys. Archives of Foundry Engineering. 15(2), 71-74. DOI: 10.1515/afe-2015-0041.
  • Zeren, M. (2007). The effect of heat-treatment on aluminum-based piston alloys. Materials & Design. 28(9), 2511-2517. DOI: doi.org/10.1016/j.matdes.2006.09.010.
  • Kolmasiak, C. (2024). Decarbonization of production systems in foundries. Archives of Foundry Engineering. 24(2), 104-109. DOI: 10.24425/afe.2024.149276.
  • Jollya, M. & Katgerman, L. (2022). Modelling of defects
    in aluminium cast products. Progress in Materials Science. 123, 100824, 1-39. DOI: 10.1016/j.pmatsci.2021.100824.
  • Yang, Y., Yu, K., Li, Y., Zhao, D. & Liu, X. (2012). Evolution of nickel-rich phases in Al–Si–Cu–Ni–Mg piston alloys with different Cu additions. Materials and Design. 33, 220-225. https://doi.org/10.1016/j.matdes.2011.06.058.
  • Pasko J., Gaspar S. & Ružbarský J. (2014). Die casting defects of castings from silumin. Applied Mechanics and Materials. 510, 91-96. https://doi.org/10.4028/www.scientific.net/AMM.510.91.
  • Piątkowski, J., Roskosz, S. & Stach, S. (2024). The influence
    of selected high – pressure die casting parameters on the porosity of EN AB-46000 alloy castings. Advances
    in Science and Technology Research Journal
    . 18(5), 361-371. DOI: 10.12913/22998624/191236.
  • Tiryakioğlu M. (2020). The effect of hydrogen on pore formation in aluminum alloy castings: myth versus reality. Metals. 10(3), 368, 1-17. DOI: 10.3390/met10030368.
  • Kucharčík, L., Brůna, M. & Sládek A. (2014). Influence
    of chemical composition on porosity in aluminium alloys. Archives of Foundry Engineering. 14(2), 5-8. ISSN (1897-3310).
  • Nicoletto G., Konećná, R. & Fintova, S. (2012). Characterization of microshrinkage casting defects of Al–Si alloys by X-ray computed tomography and metallography. International Journal of Fatigue. 41, 39-46. https://doi.org/10.1016/j.ijfatigue.2012.01.006.
  • Dispinar, D., Erzi, E., Gürsoy, Ö., Yüksel Ç. & Colak, M. (2019). Determination of acceptable quality limit for casting of A356 aluminium alloy: supplier’s quality index (SQI). Metals. 9(9), 957, 1-14. DOI: 10.3390/met9090957.
  • Dispinar, D., Gursoy, O., Erzi, E. & Tur, K. (2020). Evolution of aluminium melt quality of A356 after several recycling. Archives of Foundry Engineering. 20(4), 61-66. DOI: 10.24425/afe.2020.133348.
  • Campbell, J. (2015). Complete casting handbook: Metal casting processes, metallurgy, techniques and design. UK: Butterworth-Heinemann.
  • Retrieved December 18, 2024, from https://zlotecki.pl/?lang=en
  • Haga, T., Imamura, S. & Fuse, H. (2021). Fluidity investigation of pure Al and Al-Si alloys. Materials. 14(18), 5372, 1-15. DOI: 10.3390/ma14185372.
  • Jang, H.S., Kang, H.J., Park, J.Y., Choi, Y.S. & Shin, S. (2020). Effects of casting conditions for reduced pressure test on melt quality of Al-Si alloy. Metals. 10(11), 1422, 1-14. DOI: 10.3390/met10111422.
  • Pietrowski, S. (2001). "Siluminy". Wydawnictwo Politechniki Łódzkiej. (in Polish).
  • Orłowicz, A.W., Mróz, M., Tupaj, M., Betlej, J. & Płoszaj, F. (2009). Influence of refining process on the porosity of high pressure die casting alloy Al-Si. Archives of Foundry Engineering. 9(2), 35-40.
  • Samuel, A.M., Samuel, E., Songmene, V. & Samuel, F.H. (2023). A review on porosity formation in aluminum-based alloys. Materials. 16, 2047, 1-26. https://doi.org/10.3390/ma16052047.
  • Bogdanova, T.A., Merkulova, G.A., Gilmanshina, T.R., Kosovich, A.A., Lytkina, S.I., Cheglakov, A.V. & Antonov, M.M. (2021). Comparative evaluation of methods for determination of hydrogen and non-metallic inclusions content in aluminum alloys. ARPN Journal of Engineering and Applied Sciences. 16(3), 355-360. ISSN (1819-6608).
Go to article

Authors and Affiliations

M. Starczewski
1 2
A.J. Dolata
2
M. Dyzia
2
ORCID: ORCID

  1. ZŁOTECKI Sp. z o.o., Poland
  2. Silesian University of Technology, Poland
Download PDF Download RIS Download Bibtex

Abstract

The aim of this study was to determine the hardness of vermicular cast iron subjected to austempering, depending on the parameters of the heat treatment process. The heat treatment was conducted based on orthogonal experimental design, with a total of 27 experiments performed. The samples underwent austenitization at temperatures of 890°C, 925°C, and 960°C, followed by austempering at 290°C, 340°C, and 390°C. The austenitization and austempering times were set to 90 min, 120 min, and 150 min. To analyse the influence of these parameters, a full polynomial regression model was developed. The proposed model, which describes the hardness of the cast iron after heat treatment, showed a predicted coefficient of determination (R²) of approximately 78%. For optimization purposes, the Response Surface Methodology (RSM) was employed. The results of the ANOVA analysis indicated that the austempering temperature (Tpi), the square of the austenitization time (τγ²), the interaction between austenitization temperature and time (Tγ τγ), as well as the interaction between austenitization and austempering temperatures (Tγ Tpi) had the most significant impact on the examined parameter. Following variance analysis, the model was refined once more to eliminate insignificant predictors. The simplified model improved the predicted coefficient of determination to 93%. The optimal conditions for the analyzed parameters, assuming a maximum hardness of approximately 440 HB, were obtained under the following heat treatment conditions: Tγ = 930°C, Tpi = 290°C, τγ = 150 min, and τpi = 150 min.
Go to article

Bibliography

  • Jakubus, A., Soiński, M.S., Mierzwa, P. & Stradomski, G. (2024). Regression analysis and optimum values of austempering affecting mechanical properties of compacted graphite iron. 17(20), 5024, 1-20. https://doi.org/10.3390/ma17205024.
  • Rodríguez-Rosales, N.A., Montes-González, F.A., Gómez-Casas, O., Gómez-Casas, J., Galindo-Valdés, J.S., Ortiz-Cuellar, J.C., Martínez-Villafañe, J.F., García-Navarro, D. & Muñiz-Valdez, C.R. (2022). Statistical data-driven model for hardness prediction in austempered ductile irons. 12(4), 676, 1-20. https://doi.org/10.3390/met12040676.
  • Saikaew, C. & Harnsopa, S. (2023). Influence of component proportions in casting process on hardness and the quality of cast iron. Archives of Foundry Engineering. 23(2), 35-42. DOI: 10.24425/afe.2023.144293.
  • Fajdek-Bieda, A. (2023). Optimization of the geraniol transformation process in the presence of natural mineral diatomite as a catalyst. 13(4), 777, 1-20. https://doi.org/10.3390/catal13040777.
  • Rao, M.S., Khandelwal, H., Kumar, M. & Kumar, A. (2023). Parametric optimization for producing semi-solid A383 alloy using cooling slope casting process. Archives of Foundry Engineering. 23(1), 43-52. https://doi.org/10.24425/afe.2023.144279.
  • Perec, A., Radomska-Zalas, A., Fajdek-Bieda, A., Kawecka, E. (2022). Efficiency of tool steel cutting by water jet with recycled abrasive materials. Materials. 15(11), 3978, 1-16. https://doi.org/10.3390/ma15113978.
  • Abdulamer, D., Muhsan, A.A. & Hamdi, S.S. (2024). Utilizing taguchi method and regression analysis for optimizing sand mould flowability. Archives of Foundry Engineering. 24(3), 5-9. https://doi.org/10.24425/afe.2024.151284.
  • Soiński, M.S., Jakubus, A., Borowiecki, B., Mierzwa, P. (2021). Initial assessment of graphite precipitates in vermicular cast iron in the as-cast state and after thermal treatments. Archives of Foundry Engineering. 21(4), 131-136. https://doi.org/24425/afe.2021.139762.
  • Mierzwa, P. (2010). The effect of thermal treatment on the selected properties of cast iron with vermicular graphite. Doctoral thesis, Czestochowa University of Technology, Poland.
  • Jakubus, A. (2022). Initial analysis of the surface layer of AVGI cast iron subject to abrasion. Archives of Foundry Engineering. 22(2), 50-56. https://doi.org/10.24425/afe.2022.140224.
Go to article

Authors and Affiliations

A. Jakubus
1
ORCID: ORCID
M.S. Soiński
1
ORCID: ORCID
P. Mierzwa
2

  1. Jakub from Paradyz Academy in Gorzow Wielkopolski, 52 Fryderyk Chopin Street, 66-400 Gorzów Wielkopolski, Poland
  2. Czestochowa University of Technology
Download PDF Download RIS Download Bibtex

Abstract

The greatest influence on the wear of tool steel has its microstructure, which depends on the chemical composition and heat treatment. The presence of carbides in the alloy matrix is not always desirable and can have an adverse effect on the wear mechanism of this material, resulting in the formation of stresses and even cracks during operation. Therefore, it is necessary to apply heat treatment, which makes the microstructure homogeneous or allows for the precipitation of secondary carbides strengthening the matrix. The main aim of this study is to examine the effect of molybdenum addition on the structure and microhardness of high-manganese cast steel in the as-cast state and after heat treatment. The as-cast microstructure consists of a high-manganese austenitic matrix with molybdenum carbides and alloy ledeburite distributed at grain boundaries. As a result of solution heat treatment, only the alloy ledeburite is dissolved. The result of aging is not the precipitation of secondary molybdenum carbides but of alloy cementite. Raising the temperature or extending the time of solution heat treatment changes the hardness of austenite to a very small degree only, and the decrease in hardness becomes less significant with the increasing addition of molybdenum. Extending the tempering time has a similar effect, and changes in the hardness decrease are less pronounced.
Go to article

Bibliography

  • Tęcza, G. & Garbacz Klempka, A. (2016). Microstructure of cast high-manganese steel containing titanium. Archives of Foundry Engineering. 16(4), 163-168. DOI: 1515/afe-2016-0103.
  • Dziubek, M., Rutkowska-Gorczyca, M., Dudziński, W. & Grygier, D. (2022). Investigation into changes of microstructure and abrasive wear resistance occurring in high manganese steel X120Mn12 during isothermal annealing and re-austenitisation process. Materials. 15(7), 2622, 1-16. DOI: 3390/ma15072622.
  • Mohammadnezhad, M., Javaheri, V. & Naseri, M. (2013) Effect of the molybdenum on the microstructural and mechanical properties of hadfield austenitic manganese steel. In the Second International Iranian Metallurgical Engineering and Iranian Fundrymen Scientific Society, 30-31 October 2013 (Vol. 12816, pp. 1-7). Semnan, Iran.
  • Dziubek, M., Rutkowska-Gorczyca, M. & Grygier, D. (2023). The effect of the austenitisation temperature for the two-stage heat treatment of high-manganese steels on its wear resistance under abrasive conditions. Tribologia. 305(3), 19-29. DOI: 10.5604/01.3001.0053.9426.
  • Kalandyk, B., Tęcza, G., Zapała, R. & Sobula, S. (2015). Cast High-Manganese Steel – the Effect of Microstructure on Abrasive Wear Behaviour in Miller Test. Archives of Foundry Engineering. 15(2), 35-38. DOI: 10.1515/afe-2015-0033.
  • Gürol, U. & Can Kurnaz, S. (2020). Effect of carbon and manganese content on the microstructure and mechanical properties of high manganese austenitic steel. Journal of Mining and Metallurgy Section B Metallurgy. 56(2), 171-182. DOI: 2298/JMMB191111009G.
  • Fuoco, R., Todorov, D., Cavalcanti, A.H. & Santos, N.L. (2012) Effect of chemical composition on the carbide reprecipitation kinetics of hadfield austenitic manganese steel. Transactions of the American Foundry Society. 120, 507-522.
  • Tęcza, G. & Sobula, S. (2013). Effect of heat treatment on change microstructure of cast high-manganese hadfield steel with elevated chromium content. Archives of Foundry Engineering. 13(3), 67-70.
  • Berkowski, L., Borowski, J. & Rybak, Z. (2009). Strengthening of the steel after heat treating with the matrix of different structure. Journal of Research and Application in Agriculture Engineering. 54(2), 9-15. (in Polish)
  • Olawale, O., Ibitoye, S. & Shittu, M.D. (2013). Workhardening behaviour and microstructural analysis of failed austenitic manganese steel crusher jaws. Materials Research. 16(6), 1274-1281. DOI: 1590/S1516-14392013005000144.
  • Ham, Y.S., Kim, J.T., Kwak, S.Y., Choi, J.K. & Yoon, W.Y. (2010). Critical cooling rate on carbide precipitation during quenching of austenitic manganese steel. China Foundry. 7(2), 178-182.
  • Jabłońska, M., Śmiglewicz, A., Niewielski, G. & Hetmańczyk, M. (2011). Heat treatment of high manganese type X57MnAl27-5 austenitic steel. IOP Conference Series Materials Science and Engineering. 22(1), 012014, 1-6. DOI: 10.1088/1757-899X/22/1/012014.
  • Tęcza, G. & Zapała, R. (2018). Changes in impact strength and abrasive wear resistance of cast high manganese steel due to the formation of primary titanium carbides. Archives of Foundry Engineering. 18(1), 119-122. DOI: 24425/118823.
  • Tsakiris, V. & Edmonds, D.V. (1999). Martensite and deformation twinning in austenitic steels. Materials Science and Engineering. 273-275, 430-436. DOI: 10.1016/S0921-5093(99)00322-6.
  • Karaman, I., Sehitoglu, H., Gall, K., Chumlyakov, Y.I. & Maier, H.J. (2000). Deformation of single crystal Hadfield steel by twinning and slip. Acta Materialia. 48(6), 1345-1359. DOI: 1016/S1359-6454(99)00383-3.
  • Bańkowski, D., Młynarczyk, P. S., Depczyński, W. & Bolanowski, K. C. (2024). The effect of work hardening on the structure and hardness of hadfield steel. Archives of Foundry Engineering. 24(1), 14-20. DOI: 24425/afe.2024.149246.
  • Stradomski, Z. (2010). Microstructure in wear issues of wear-resistant steels. Częstochowa: Wydawnictwo Politechniki Częstochowskiej. (in Polish).
  • Tęcza, G. & Głownia, J. (2015). Resistance to abrasive wear and volume fraction of carbides in cast high-manganese austenitic steel with composite structure. Archives of Foundry Engineering. 15(4), 129-133. DOI: 10.1515/afe-2015-0092.
  • Maouche, H., Hadji, A. & Bouhamla, K. (2016). Effect of inoculation by molybdenum and nickel on hardening phenomenon and wear behavior of high manganese steel. Metallurgical and Mining Industry. 3, 75-82.
  • Tęcza, G. (2022). Changes in microstructure and abrasion resistance during miller test of hadfield high-manganese cast steel after the formation of vanadium carbides in alloy matrix. 15(3), 1021, 1-11. DOI: 10.3390/ma15031021.
  • Tęcza, G. (2021). Changes in abrasive wear resistance during miller test of high-manganese cast steel with niobium carbides formed in the alloy matrix. Applied Sciences. 11(11), 4794, 1-10. DOI: 10.3390/app11114794.
Go to article

Authors and Affiliations

G. Tęcza
1
N. Mordyl
1
K. Bracka-Kęsek
1

  1. AGH University of Krakow, Poland
Download PDF Download RIS Download Bibtex

Abstract

Investment casting relies on a high-quality ceramic shell for successful production. However, shell-making suffers from a high rejection rate (around 35%) and consumes a significant portion of the total energy used in the process (nearly one-third). This inefficiency is often linked to issues with the ceramic slurry, particularly the growth of microorganisms within the mixture. This study investigates the impact of microbial presence on the quality and performance of ceramic slurry used in investment casting. The typical slurry composition involves a mixture of finely-ground (300-400 mesh) zircon flour (typically 75%) as the primary refractory material and hydrolysed ethyl silicate or colloidal silica (typically 25%) acting as a binder. Maintaining precise slurry properties, including viscosity, pH, and specific gravity, is very crucial for appropriate shell formation. However, microbial growth within the slurry can disrupt these properties, adversely affect factors including life of slurry and cold strength of the resulting mould. Present work provides better insight on presence as well as identification of various microorganisms in ceramic slurry used in investment casting process as well as secondary metabolites to control growth of those microorganisms observed in ceramic slurry. Various secondary metabolites have been tested to control the growth. It was observed that Enterococcus hirae has shown promising results to control overall growth of microorganism, and can further be explored for development of antibiotics for industrial purpose.
Go to article

Bibliography

  • Nikunj, M. & Sata, A. (2023). Systematic development of cumulative complexity index for investment casting. Journal of Advanced Manufacturing Systems. 22(02), 323-338. https://doi.org/10.1142/S0219686723500166.
  • Nikunj, M. & Sata, M. (2023). Development of a novel complexity index for investment casting. International Journal of Metalcasting. 18, 2165-2180. https://doi.org/10.1007/s40962-023-01151-1.
  • Chirag, M. (2011). Thermo-physical properties measurement and steel-ceramic shell interactions in investment casting. Master’s Thesis, Missouri University of Science and Technology.
  • Vyas, A.V., Prajapati, H.P. & Sutaria, M.P. (2023). Comparative evaluation on oxidation resistance of reactive AZ91D magnesium alloy with various face-coats in investment casting. International Journal of Metalcasting. 18, 180-1810. https://doi.org/10.1007/s40962-023-01153-z.
  • Sanjay, K. & Karunakar, D.B. (2021). Characterization and properties of ceramic shells in investment casting process. International Journal of Metalcasting. 15, 98-107. https://doi.org/10.1007/s40962-020-00421-6.
  • Lu, Yan, Haiyang Shi, Kai Lü, Jie Li, Yanfen Li, & Weidong Chen. (2023). Properties and fracture mechanism of composite plaster mold covered with multiple adhesion layer for investment casting. International Journal of Metalcasting. 18, 1770-1782. https://doi.org/10.1007/s40962-023-01152-0.
  • Song, Q., Zha, X., Ou, M., Lu, C., Li, J. & Ma, Y. (2023). High-temperature flexural strength of aluminosilicate ceramic shells for the investment casting of nickel-based superalloy. International Journal of Metalcasting. 18, 962-974. https://doi.org/10.1007/s40962-023-01061-2.
  • Lü, K., Duan, Z., Liu, X., Li, Y. & Du, Z. (2020). Effect of dispersant on fiber-reinforced shell for investment casting. International Journal of Metalcasting. 14, 1005-1012. https://doi.org/10.1007/s40962-020-00409-2.
  • Lopes, V., Puga, H., Barbosa, J. & Teixeira, J.C. (2020). Effect of yttria mould coating on the investment casting of AZ91D-1 wt% CaO magnesium alloy. International Journal of Metalcasting. 14, 98-107. https://doi.org/10.1007/s40962-019-00339-8.
  • Nwaogu, U. C. & Tiedje, N. S. (2011). Foundry coating technology: A review. Materials Sciences and Applications. 2(08), 1143-1160. DOI: 10.4236/msa.2011.28155.
  • Romberger, J.A., Payne, C. C. (1993). Patent No. 5230833. United States Patent on Low Sodium Low Metals Silica Polishing Slurries.
  • Li, J., Zhu, Y., Wu, X. & Hoffmann, M.R. (2020). Rapid detection methods for bacterial pathogens in ambient waters at the point of sample collection: a brief review. Clinical Infectious Diseases. 71(Supplement_2), S84-S90.
  • Bonnet, M., Lagier, J. C., Raoult, D. & Khelaifia, S. (2020). Bacterial culture through selective and non-selective conditions: the evolution of culture media in clinical microbiology. New microbes and new infections. 34, 100622, 1-11. https://doi.org/10.1016/j.nmni.2019.100622.
  • Mészáros, É. (2024). How to culture bacteria. Retrieved February 15, 2025, from https://www.integra-biosciences.com/china/en/blog/article/how-culture-bacteria.
  • Basha, M. (2020). Centrifugation. In Analytical Techniques in Biochemistry (pp.13-21).
  • Ali, S., Sarfraz, M.H., Muhjudin, R. & Sean, W.A. (2018). Screening And Selection of industriallly important microorganisms. A Review. Journal of Pharmaceutical and Medical Research. 42-47.
  • Qayyum, S., Basharat, S., Mian, A. H., Qayum, S., Ali, M., Changsheng, & Sultan, F. (2020). Isolation, identification and antibacterial study of pigmented bacteria. Applied Nanoscience. 10, 4495-4503.
  • Jufri, R.F. (2020). Microbial isolation. Journal La Lifesci. 1(1), 18-23.
  • Kumar, A., Murthy, L.N. & Jeyakumari, A. (2018). Plating techniques in isolation of micro-organisms. Retrieved February 19, 2025, from https://drs.cift.res.in/server/api/core/bitstreams/e138783f-966e-4816-b29a-d8565fb3078e/content.
  • Kumar, D., Kumar, V., Jangra, P. & Singh, S. (2016). Leucas cephalotes (Spreng): photochemical investigation and antimicrobial activity via cylinder-plate method or cup-plate method. International Journal of Pharmaceutical Science and Research. 1(4), 28-32.
  • Yu, M., Zhang, L., Qian, G., Shi, H. & Yu, S. (2022). Fc-MBL-modified Fe3O4 magnetic bead enrichment and fixation in Gram stain for rapid detection of low-concentration bacteria. Microchimica Acta. 189(4), 169, 1-10. https://doi.org/10.1007/s00604-022-05277-7.
  • Moyes, R.B., Reynolds, J. & Breakwell, D.P. (2009). Differential staining of bacteria: gram stain. Current Protocols in Microbiology. 15(1), A-3C. https://doi.org/10.1002/9780471729259.mca03cs15.
  • Ogofure, A.G., Beshiru, A. & Igbinosa, E.O. (2022). Evaluation of different agar media for the antibiotic susceptibility testing of some selected bacterial pathogens. University of Lagos Journal of Basic Medical Sciences. 8(1-2), 34-41.
  • Barnard, R.T. (2019). The zone of inhibition. Clinical chemistry. 65(6), 819-819. https://doi.org/10.1373/clinchem.2018.299800.
  • Frank, K.L., del Pozo, J.L. & Patel, R. (2008). From clinical microbiology to infection pathogenesis: how daring to be different works for staphylococcus lugdunensis. Clinical Microbiology Reviews. 21(1), 111-133. https://doi.org/10.1128/cmr.00036-07.
  • Fiore, E., van Tyne, D. & Gilmore, M.S. (2019). Pathogenicity of enterococci. Gram-Positive Pathogens. Retrieved November 26, 2024, from https://doi.org/10.1128/9781683670131.ch24.
  • Krzyściak, W., Pluskwa, K.K., Jurczak, A. & Kościelniak, D. (2013). The pathogenicity of the streptococcus genus. European Journal of Clinical Microbiology & Infectious Diseases. 32, 1361-1376. https://doi.org/10.1007/s10096-013-1914-9.
  • Andrewes, F.W, & Horder, T.J. (1906). A study of the streptococci pathogenic for man. The Lancet. 168(4334), 775-783. https://doi.org/10.1016/s0140-6736(01)13797-9.
  • Wang, Xi, & Hua Zhao. (2013). Isolation and Characterization of a Bacillus Flexus Strain Used in Alkaline Wastewater Treatment. Advanced Materials Research. 750-752, 1381-1384. https://doi.org/10.4028/www.scientific.net/amr.750-752.1381.
  • Parte, A.C., Carbasse, J.S., Meier-Kolthoff, J.P., Reimer, L.C. & Göker, M. (2020). List of prokaryotic names with standing in nomenclature (LPSN) moves to the DSMZ. International Journal of Systematic and Evolutionary Microbiology. 70(11), 5607-5612. https://doi.org/10.1099/ijsem.0.004332.
  • Takami, H. & Horikoshi, K. (1999). Reidentification of facultatively alkaliphilic bacillus sp. C-125 to bacillus halodurans. Bioscience, Biotechnology, and Biochemistry. 63(5), 943-945. https://doi.org/10.1271/bbb.63.943.
  • Dunlap, C.A., Soon-Wo Kwon, Rooney, A.P. & Soo-Jin Kim. (2015). Bacillus paralicheniformis sp. nov., isolated from fermented soybean paste. International Journal of Systematic and Evolutionary Microbiology. 65(Pt_10), 3487-3492. https://doi.org/10.1099/ijsem.0.000441.
Go to article

Authors and Affiliations

D. Vaitha
1
A. Sata
1
ORCID: ORCID
G. Sanghvi
1

  1. Marwadi University, India
Download PDF Download RIS Download Bibtex

Abstract

The paper presents the results of scratch tests on the connection of the Al2O3+40%TiO2 coating with the AZ91 alloy casting. The Al2O3+40%TiO2 coating was applied to the AZ91 alloy casting using the APS (Atmospheric Plasma Spraying) method. Microstructure studies and chemical composition analysis of the substrate material and the Al2O3+40%TiO2 coating were conducted. The analysis of the coating to substrate connection was based on microstructure examinations before and after the scratch test. The scratch was made in the direction from the substrate to the coating. In the scratch test, the depth and width of the scratch were determined. Based on the conducted research, it was found that the Al2O3+40%TiO2 coating has a very good quality connection with the AZ91 alloy substrate. The obtained lower values of the geometric parameters of the scratch (width and depth) for the Al2O3+40%TiO2 coating, compared to the AZ91 alloy substrate, indicate the potential use of the Al2O3+40%TiO2 coating to improve the scratch resistance of elements and machine parts made of the AZ91 alloy. The effect of the indenter's intervention during scratching is the degradation of the microstructure of the AZ91 alloy and the Al2O3+40%TiO2 coating. In this process, cracking plays the main role. In the case of the Al2O3+40%TiO2 coating, the effect of the indenter's action is a network of microcracks, while in the microstructure of the AZ91 alloy, cracks appeared in large precipitates of the γ-Mg17(Al, Zn)12 phase.
Go to article

Bibliography

  • Lai, L., Wu, H., Mao, G., Li, Z., Zhang, L. & Liu, Q. (2022). Microstructure and corrosion resistance of two-dimensional TiO2/MoS2 hydrophobic coating on AZ31B magnesium alloy. Coatings. 12(10), 1488, 1-12. DOI: 10.3390/coatings12101488.
  • Xi, B., Fang, G. & Xu, S. (2018). Multiscale mechanical behavior and microstructure evolution of extruded magnesium alloy sheets: experimental and crystal plasticity analysis. Materials Characterization. 135, 115-123. DOI: 10.1016/j.matchar.2017.11.034.
  • Yang, Y., Xiong, X., Chen, J., Peng, X., Chen, D. & Pan, F. (2021). Research advances in magnesium and magnesium alloys worldwide in 2020. Journal of Magnesium and Alloys. 9(3), 705-747. DOI: 10.1016/j.jma.2021.04.001.
  • Wang G.G. & Weiler J.P. (2023). Recent developments in high pressure die-cast magnesium alloys for automotive and future applications. Journal of Magnesium and Alloys. 11(1), 78-87. DOI: doi.org/10.1016/j.jma.2022.10.001.
  • Liu B., Yang J., Zhang X., Yang Q., Zhang J., & Li X. (2022). Development and application of magnesium alloy parts for automotive OEMs: A review. Journal of Magnesium and Alloys. 11(1), 15-47. DOI: 10.1016/j.jma.2022.12.015.
  • Sun, H. & Ma, S. (2016). Microstructural characteristics and protection performances of plasma-sprayed Al2O3–Al composite coatings on AZ91D magnesium alloy. Science and Engineering of Composite Materials. 23(5), 467-474. DOI: 10.1515/secm-2014-0151.
  • Xin, Y., Huo, K., Hu, T., Tang, G. & Chu, P.K. (2009). Mechanical properties of Al2O3/Al bi-layer coated AZ91 magnesium alloy. Thin Solid Films. 517(17), 5357-5360. DOI: 10.1016/j.tsf.2009.03.101.
  • Chang, S.H., Niu, L., Su, Y., Wang, W., Tong, X. & Li, G. (2016). Effect of the pretreatment of silicone penetrant on the performance of the chromium-free chemfilm coated on AZ91D magnesium alloys. Materials Chemistry and Physics. 171, 312-317. DOI: doi.org/10.1016/j.matchemphys.2016.01.022.
  • Liu, C., Liang, J., Zhou, J., Wang, L. & Li, Q. (2015). Effect of laser surface melting on microstructure and corrosion characteristics of AM60B magnesium alloy. Applied Surface Science. 343, 133-140. DOI: 10.1016/j.apsusc.2015.03.067.
  • Basha, G.M.T., Srikanth, A. & Venkateshwarlu, B. (2020). A critical review on nano structured coatings for alumina-titania (Al2O3-TiO2) deposited by air plasma spraying process (APS). Materials Today: Proceedings. 22(4), 1554-1562. DOI: doi.org/10.1016/j.matpr.2020.02.117.
  • Michalak, M., Łatka, L., Sokołowski, P. & Ambroziak, A. (2019). Investigations of microstructure and selected mechanical properties of Al2O3+ 40 wt.% TiO2 coatings deposited by Atmospheric Plasma Spraying (APS). Welding Technology Review. 91(8), 7-11. DOI: 10.26628/wtr.v91i8.1068.
  • Ahmed, I. & Abdel Salam, H. (2011). Microstructure, corrosion, and fatigue properties of alumina-titania nanostructured coatings. Journal of Surface Engineered Materials and Advanced Technology. 1(3), 101-106. DOI: 10.4236/jsemat.2011.13015.
  • Łatka, L., Niemiec, A., Michalak, M. & Sokołowski, P. (2019). Tribological properties of Al2O3+TiO2 coatings manufactured by plasma spraying. Tribologia. 283(1), 19-24. DOI: 10.5604/01.3001.0013.1431.
  • Çelik, İ. (2016). Structure and surface properties of Al2O3–TiO2 ceramic coated AZ31 magnesium alloy. Ceramics International. 42(12), 13659-13663. DOI: 10.1016/j.ceramint.2016.05.162.
  • Bayram, T., Karabaş, M. & Kayalı, Y. (2023). Deposition and study of plasma sprayed Al2O3-TiO2 coatings on AZ31 magnesium alloy. European Mechanical Science. 7(1), 35-40. DOI: 10.26701/ems.1175394.
  • Yılmaz, R., Kurt, A.O., Demir, A. & Tatlı, Z. (2007). Effects of TiO2 on the mechanical properties of the Al2O3–TiO2 plasma sprayed coating. Journal of the European Ceramic Society. 27(2-3), 1319-1323. DOI: 10.1016/j.jeurceramsoc.2006.04.099.
  • Toma, F.L., Stahr, C.C., Berger, L.M., Saaro, S., Herrmann, M., Deska, D. & Michael, G. (2010). Corrosion resistance of APS-and HVOF-sprayed coatings in the Al2O3-TiO2 Journal of Thermal Spray Technology. 19, 137-147. DOI: 10.1007/s11666-009-9422-2.
  • Habib, K.A., Saura, J.J., Ferrer, C., Damra, M.S., Giménez, E. & Cabedo, L. (2006). Comparison of flame sprayed Al2O3/TiO2 coatings: Their microstructure, mechanical properties and tribology behavior. Surface and Coatings Technology. 201(3-4), 1436-1443. DOI: 10.1016/j.surfcoat.2006.02.011.
  • Grimm, M., Conze, S., Berger, L.M., Paczkowski, G., Lindner, T. & Lampke, T. (2020). Microstructure and sliding wear resistance of plasma sprayed Al2O3-Cr2O3-TiO2 ternary coatings from blends of single oxides. Coatings. 10(1), 42, 1-12. DOI: 10.3390/coatings10010042.

 

Go to article

Authors and Affiliations

S. Olszewska
1
M. Mróz
1

  1. Rzeszow University of Technology, Poland
Download PDF Download RIS Download Bibtex

Abstract

In order to obtain a better connection state between the carbon block and steel claw of aluminum guide rod in the electrolytic aluminum anode assembly, the casting simulation software (ProCAST) was used to simulate the casting process of phosphorus cast iron at different groove angles and the connection interface was actually detected. The results show that during the angle of phosphorus cast iron is 15 degrees, the filling speed, temperature distribution and the solid phase ratio are relatively uniform. Also, sequential solidification can be basically realized, which can lead to obtain the low porosity casting. The interface grain orientation between the phosphorus cast iron and the steel claw would be more dense, and the interface grain between the cast iron and the carbon block is more sparse. The simulation calculations are consistent with the actual EBSD test results. This process results in a good casting junction interface and retains the required brittleness (easy to press off and recycle assembly).
Go to article

Bibliography

  • Hop, J., Store, A., Foosnaes, T. & Oye, H.A. (2005). Chemical and physical changes of cathode carbon by aluminium electrolysis. Mineral Processing and Extractive Metallurgy. 114(3), 181-187. https://doi.org/10.1179/037195505X63376.
  • Senanu, S., Wang, Z., Ratvik, A.P. & Grande, T. (2020). Carbon cathode wear in aluminium electrolysis cells. The Journal of The Minerals, Metals & Materials Society. 72(1), 210-217. https://doi.org/10.1007/s11837-019-03717-z.
  • Allard, F., Soucy, G., Rivoaland, L. & Désilets, M. (2015). Thermodynamic and thermochemical investigation of the deposits formed on the cathode surface of aluminum electrolysis cells. Journal of Thermal Analysis and Calorimetry. 119, 1303-1314. https://doi.org/10.1007/s10973-014-4288-z.
  • Li, Q., Liang, J., Liu, B., Peng, Z. & Wang, Q. (2014). Effects of cathodic voltages on structure and wear resistance of plasma electrolytic oxidation coatings formed on aluminium alloy. Applied Surface Science. 297, 176-181. https://doi.org/10.1016/j.apsusc.2014.01.120.
  • Li, T.F., Tao, W.J., Wang, Z.W. & Liu, X.Z. (2020). Effects of the size of cast iron and stub on the physical field of anode in aluminium reduction cell. Journal of Northeastern University. 41(6), 828-834. https://doi.org/12068/j.issn.1005-3026.2020.06.012.
  • Zhang, Y.H. & Ding, H.M. (2016). Optimization of cast iron casting process for the cathode carbon block. Light Metals. 4, 31-34,43. https://link.oversea.cnki.net/doi/10.13662/j.cnki.qjs.2016.04.008.
  • Huang, Y.B., & Yuan, Z.H. (1998). Study on the composition of phosphorus iron for aluminum electrolysis. Light Metals, 2, 37-39. https://link.oversea.cnki.net/doi/10.13662/j.cnki.qjs.1998.02. 008.
  • Dojka, R., Jezierski, J. & Campbell, J. (2018). Optimized gating system for steel castings. Journal of Materials Engineering and Performance. 27, 5152-5163. https://doi.org/10.1007/s11665-018-3497-1.
  • Dojka, R., Jezierski, J. & Tiedje, N.S. (2019). Geometric Form of Gating System Elements and Its Influence on the Initial Filling Phase. Journal of Materials Engineering and Performance. 28, 3922-3928. https://doi.org/10.1007/s11665-019-03973-9.
  • Dhisale, M., Vasavada, J. & Tewari, A. (2022). An approach to optimize cooling channel parameters of low pressure die casting process for reducing shrinkage porosity in aluminium alloy wheels. Materials Today: Proceedings. 62(6), 3189-3196. https://doi.org/10.1016/j.matpr.2022.03.478.
  • Zhang, F., Kang, Y.L., Yang, L.Q. & Ding, R.H. (2010). Effects of pouring temperature on the cooling rules of alloy melts and the semi-solid microstructure. Chinese Journal of Engineering. 32(11), 1453-1458. https://doi.org/13374/j.issn1001-053x.2010.11.014.
  • Qin, T. & Xu, N.B. (2012). Research on influence of pouring temperature on quality of rotor casting by using software ProCAST. Modern Cast Iron. 32(03), 74-77. https://doi.org/3969/j.issn.1003-8345.2012.03.014.
  • Zheng, Q., Xiao, Y., Zhang, T., Zhu, P., Ma, W. & Liu, J. (2020). Numerical simulation of latent heat of solidification for low pressure casting of aluminum alloy wheels. Metals. 10(8), 1024, 1-12. https://doi.org/3390/met10081024.
  • Vijayaram, T.R., Sulaiman, S., Hamouda, A.M.S. & Ahmad, M.H.M. (2006). Numerical simulation of casting solidification in permanent metallic molds. Journal of materials processing technology. 178(1-3), 29-33. https://doi.org/1016/j.jmatprotec.2005.09.025.
  • Thompson, S., Cockcroft, S.L. & Wells, M.A. (2004). Advanced light metals casting development: solidification of aluminium alloy A356. Materials science and technology. 20(2), 194-200. https://doi.org/10.1179/026708304225011199.
  • Liu, F., Ma, X.T., Liu Z.W. & Xie, H.M. (2023). Electron backscatter diffraction technology and its application in the study of micro-mechanical behavior. Mechanics and Practice. 45(6), 1321-1330. https://doi.org/6052/1000-0879-23-301.
  • Radovic, Z. & Lalovic, M. (2005). Numerical simulation of steel ingot solidification process. Journal of Materials Processing Technology. 160(2), 156-159. https://doi.org/10.1016/j.jmatprotec.2004.07.094.
  • Zhao, S. & Wang, S.J. (2025). Research progress in crystal plasticity deformation mechanisms and their numerical simulation methods. Manufacturing Technology & Machine Tool. 1-13. https://doi.org/10.19287/j.mtmt.1005-2402.2025.02.013.
  • Wang, J.L., Lai, C.B., Wang F.M., Zhang J.M. & Ren, W. (2009). Mechanism and application of the CAFE model. Journal of Iron and Steel Research. 21(10), 4. https://doi.org/13228/j.boyuan.issn1001-0963.2009.10.004.
  • Cramb, A.W. (2005). Solidification and steel casting. Fundamentals of Metallurgy. 399-452. https://doi.org/1533/9781845690946.2.399.
  • Shen, Y., He, G.Q., Tian, D.D., Fan, K.L., Liu, X.S., & Mo, D.F. (2014). Effect of secondary dendrite arm spacing on tensile property and fatigue behavior ofa319 aluminum alloy. Journal of Materials Research. 28(8), 587-593. https://doi.org/10.11901/1005.3093.2014.117.
  • Brust, A.F., Niezgoda, S.R., Yardley, V.A. & Payton, E.J. (2019). Analysis of misorientation relationships between austenite parents and twins. Metallurgical and Materials Transactions A. 50, 837-855. https://doi.org/1007/s11661-018-4977-5.
  • Pan, C.C., Ma, C. & Xia, D.H. (2020). Estimation for Relevance of Atmospheric Corrosion Initiation with Surface Texture of Several Metallic Materials by Electron Backscattering Diffraction. Journal of Chinese Society for Corrosion and protection. 39(6), 495-503. https://doi.org/11902/1005.4537.2019.232.

 

 

Go to article

Authors and Affiliations

Kun Zhang
1
Rong Li
2
ORCID: ORCID

  1. Shenyang Aluminum & Magnesium Engineering & Research Institute Co., Ltd, China
  2. School of Mechanical & Electrical Engineering, Guizhou Normal University, China
Download PDF Download RIS Download Bibtex

Abstract

Silica sand is extensively used as a moulding sand for both mould and core making in the cast iron and steel casting industries. The pouring temperatures of cast iron and steel create a nonlinear distribution of temperatures across mould/core. The temperature fluctuations in mould/core establish different heat transport zones and result in a temperature-dependent undesirable expansion of silica. The expansion of silica is one of the primary sources for the formation of surface defects on castings. Additives are incorporated to mitigate the volumetric expansion of mould/core resulting from the granular expansion of silica sand. The paper aims to investigate the thermal dilation of unbonded silica sand integrated with different amounts of additive in the sand (0.8%, 1.0%, and 1.3%) using a horizontal dilatometer. The dilatometric investigations identified a decreasing trend in the thermal expansion behaviour of silica mixture with increasing content of additive inclusions in the mixtures. In theory, the additives in the sand mixtures decompose prior to the α↔β endothermic phase transition of quartz and provide intergranular spacing for the free expansion of silica. DSC and TGA were conducted to identify the phase change in silica and the degradation temperature of the additives, respectively.
Go to article

Bibliography

  • Brown, J. (1999). Sands and sand bonding systems. In J.R. Brown (Eds.), Foseco Non-Ferrous Foundryman's Handbook (pp. 149-166). Oxford: Elsevier Science & Technology.
  • Svidró, J., Dioszegi, A., Tóth, L. & Svidró, J. (2017). The influence of thermal expansion of unbonded foundry sands on the deformation of resin bonded cores. Archives of Metallurgy and Materials. 62(2), 795-798. https://doi.org/10.1515/amm-2017-0118.
  • Stevens, S.J., Hand, R.J. & Sharp, J.H. (1997). Polymorphism of silica. Journal of Materials Science. 32(11), 2929-2935. https://doi.org/10.1023/A:1018636920023.
  • Svidró, J., Dioszegi, A. & Svidró, J. (2020). The origin of thermal expansion differences in various size fractions of silica sand. International Journal of Cast Metals Research. 33(6), 1-8. https://doi.org/10.1080/13640461.2020.1838078.
  • Sertucha, J. & Lacaze, J. (2022). Casting defects in sand-mold cast irons - an illustrated review with emphasis on spheroidal graphite cast irons. Metals. 12(3),  504, 1-80. https://www.mdpi.com/2075-4701/12/3/504.
  • Holmquist, S. (1961). Conversion of quartz to tridymite. Journal of the American Ceramic Society. 44(2), 82-86.
  • Thiel, J. (2011). Thermal expansion of chemically bonded silica sands. AFS Transactions-American Foundry Society. 119, 369.
  • Bašistová, M., Radkovský, F., Kroupová, I. & Lichý, P. (2023). Dilatation of new progressive hybrid sand and its effect on surface structure, roughness, and veining creation within grey cast iron. Materials. 16(5), 2004, 1-18. https://www.mdpi.com/1996-1944/16/5/2004.
  • Vaskova, I., Hrubovčáková, M. & Conev, M. (2017). Influence of additives in core-forming mixture. Archives of Metallurgy and Materials. 62(1), 345-348. DOI: 10.1515/amm-2017-0050.
  • Hrubovcakova, M., Vaskova, I. & Conev, M. (2018). Using additives for the production of castings from the gray cast iron. Manufacturing Technology. 18(6), 906-911. DOI: 10.21062/ujep/199.2018/a/1213-2489/MT/18/6/906.
  • Liu, X., Yu, L., Xie, F., Li, M., Chen, L. & Li, X. (2010). Kinetics and mechanism of thermal decomposition of cornstarches with different amylose/amylopectin ratios. Starch. 62(3-4), 139-146. https://doi.org/10.1002/star.200900202.
  • Liu, X., Wang, Y., Yu, L., Tong, Z., Chen, L., Liu, H. & Li, X. (2013). Thermal degradation and stability of starch under different processing conditions. Starch. 65(1-2), 48-60. https://doi.org/10.1002/star.201200198.
  • Gazonato, E.C., Maia, A.A.D., Moris, V.A.D.S. & Paiva, J.M.F.D. (2019). Thermomechanical properties of corn starch based film reinforced with coffee ground waste as renewable resource. Materials research. 22(2), e20190416, 1-8.  https://doi.org/10.1590/1980-5373-MR-2018-0416.
  • Wang, L., Yuan, B., Zhang, H. & Jiang, S. (2020). Fundamental investigation on the effects of ammonium polyphosphate on flame propagation behaviors of starch dust deflagration. Powder Technology. 360. 411-420. https://doi.org/10.1016/j.powtec.2019.10.039.
  • Liu, C., Jiang, S., Zhang, S., Xi, T., Sun, Q. & Xiong, L. (2016). Characterization of edible corn starch nanocomposite films: The effect of self-assembled starch nanoparticles. Starch. 68(3-4), 239-248. https://doi.org/10.1002/star.201500252.
  • Delimanová, P., Vasková, I., Bartošová, M. & Hrubovčáková, M. (2023). Influence the composition of the core mixture to the occurrence of veinings on castings of cores produced by cold-box-amine technology. Archives of Metallurgy and Materials. 68(3), 947-953. DOI: 10.24425/amm.2023.145458.
  • Retrieved August 29, 2020, from https://www.aqua-calc.com/page/density-table/substance/cornstarch.
Go to article

Authors and Affiliations

V N Sai Deepak Kolli
1
Taishi Matsushita
1
ORCID: ORCID
Jessica Elfsberg
2
Attila Dioszegi
1
ORCID: ORCID

  1. Jönköping University, Sweden
  2. Scania CV AB, Sweden
Download PDF Download RIS Download Bibtex

Abstract

The establishment of the heat balance within the ladle baking system holds paramount significance for optimizing the baking process, enhancing the quality of molten steel, and minimizing energy consumption. In this research endeavor, a meticulous mathematical model of the ladle baking system has been formulated, leveraging CFD numerical simulation and utilizing a 130-ton ladle as the benchmark prototype. The precision of this numerical simulation has been rigorously validated through experimental data. Furthermore, the formulation of the heat balance equation for the thermal storage ladle baking system has been accomplished through a harmonious blend of theoretical analysis and experimental exploration. The comparison of the energy-saving efficacy of the thermal storage ladle baker across various gas types, with a keen emphasis on analyzing ladle lining and shell volume heat storage, sheds light on the baking efficiency associated with different gas types. The study's revelations underscore that external flue gas sensible heat loss constitutes the most prominent factor, whereas ladle shell volume heat storage is the least substantial, accounting for less than 1% of the total heat involved. The chemical heat and surface heat dissipation of the gas escaping from the gap are both less than 5%; The sensible heat loss rates of gas escaping from gaps during the baking of natural gas, coke oven gas, and converter gas are 8.16%, 13.33%, and 23.96%, respectively; The radiation heat loss rates are 8.35%, 8.68%, and 14.62%, respectively; The average thermal efficiencies are 27.78%, 27.83%, and 23.80%, respectively.The findings of this research study have significantly propelled the domain of heat storage ladle baking technology to new heights. They not only contribute to the progression of ladle baking technology but also specifically enrich the understanding within the realm of thermal storage systems.
Go to article

Bibliography

  • Zhang, H., Zhou, P. & Yuan, F. (2021). Effects of ladle lid or online preheating on heat preservation of ladle linings and temperature drop of molten steel. Energy. 214, 118896, 1-11. DOI: 10.1016/j.energy.2020.118896.
  • Chen, C-H. & Ronney, P.D. (2011). Three - dimensional effects in counterflow heat - recirculating combustors. Proceedings of the Combustion Institute. 33(2), 3285-3291. https://doi.org/10.1016/j.proci.2010.06.081.
  • Li, G., Liu, J., Jiang, G. & Liu, H. (2015). Numerical simulation of temperature field and thermal stress field in the new type of ladle with the nanometer adiabatic material. Advances in Mechanical Engineering. 7(4), 1-13. https://doi.org/10.1177/1687814015575988.
  • Nemitallah, M.A., Habib, M.A., Badr, H.M., Said, S.A., Jamal, A., Ben-Mansour, R., Mokheimer, E.M.A. & Mezghani, K. (2017). Oxy-fuel combustion technology: current status, applications, and trends. International Journal of Energy Research. 41(12), 1670-1708. https://doi.org/10.1002/er.3722.
  • Schaffel-Mancini, N., Mancini, M., Szlek, A. & Weber, R. (2010). Novel conceptual design of a supercritical pulverized coal boiler utilizing high - temperature air combustion (HTAC) technology. Energy. 35(7), 2752-2760. https://doi.org/10.1016/j.energy.2010.02.014.
  • Suda, T., Takafuji, M., Hirata, T., Yoshino, M. & Sato, J. (2002). A study of combustion behavior of pulverized coal in high - temperature air. Proceedings of the Combustion Institute. 29(1), 503-509. https://doi.org/10.1016/S1540-7489(02)80065-7.
  • Weber, R., Gupta, A.K. & Mochida, S. (2020). High - temperature air combustion (HiTAC): how it all started for applications in industrial furnaces and prospects. Applied energy. 278, 115551. DOI: 10.1016/j.apenergy.2020.115551.
  • Weber, R., Smart, J.P., vd Kamp, W. (2005). On the (MILD) combustion of gaseous, liquid, and solid fuels in high temperature preheated air. Proceedings of the combustion institute. 30(2), 2623-2629. https://doi.org/10.1016/j.proci.2004.08.101.
  • Weihong, Y. & Blasiak, W. (2004). Combustion performance and numerical simulation of a high - temperature air - LPG flame on a regenerative burner. Scandinavian Journal of Metallurgy. 33, 113-120. https://doi.org/10.1111/j.1600-0692.2004.00675.x.
  • Lille, S., Blasiak, W., Mo¨ rtberg, M., Dobski, T. & Yang, W. (2002). Heat Flux Evaluation in a Test Furnace Equipped With High - Temperature Air Combustion (HTAC) Technique[C]. In International Joint Power Generation Conference, 24-26 June 2002 (pp.643 – 649). Scottsdale, Arizona, USA.
  • Sánchez, M., Cadavid, F. & Amell, A. (2013). Experimental evaluation of a 20 kW oxygen - enhanced self - regenerative burner operated in flameless combustion mode. Applied Energy. 111, 240 - 246. https://doi.org/10.1016/j.apenergy.2013.05.009.
  • Haworth, D.C. (2010). Progress in probability density function methods for turbulent reacting flows. Progress in Energy and Combustion Science. 36(2), 168-259. https://doi.org/10.1016/j.pecs.2009.09.003.
  • Ma, L., Naud, B. & Roekaerts, D. (2016). Transported PDF modeling of ethanol spray in hot - diluted coflow flame. Flow, Turbulence, and Combustion. 96, 469-502. https://doi.org/10.1007/s10494-015-9623-3.
  • Lygidakis, G.N. & Nikolos, I.K. (2012). Using the finite - volume method and hybrid unstructured meshes to compute radiative heat transfer in 3-D geometries. Numerical Heat Transfer, Part B: Fundamentals. 62, 289-314. https://doi.org/10.1080/10407790.2012.707012.
  • Moradi, J., Gharehghani, A. & Mirsalim, M. (2020). Numerical investigation on the effect of oxygen in combustion characteristics and to extend low load operating range of a natural-gas HCCI engine. Applied Energy. 276, 115516, 1-14. DOI:10.1016/j.apenergy.2020.115516.
  • Hosseini, A. A., Ghodrat, M., Moghiman, M. & Pourhoseini, S. H. (2020). Numerical study of inlet air swirl intensity effect of a Methane - Air Diffusion Flame on its combustion characteristics. Case Studies in Thermal Engineering. 18, 100610. https://doi.org/10.1016/j.csite.2020.100610.
  • Wang, S., Wen, Z., Dou, R., Xiao, Y., Guan, Y. & Liu, X. (2022). Numerical study on the mixing process of hot desulfurization slag and converter steel slag. Case Studies in Thermal Engineering. 40, 102561, 1-13. https://doi.org/10.1016/j.csite.2022.102561.
  • Qi, F., Shan, J., Li, B. & Baleta, J.. (2020). Numerical study on ladle baking process of oxy - fuel combustion. Thermal Science. 24, 3511-3520. https://doi.org/10.2298/TSCI200318272Q.
  • Su, F., Fang, L., Kang, Z. & Zhu, H. (2023). Numerical simulation om heat transfer of multi - layer ladle in empty and heavy condition. Frontiers in Heat and Mass Transfer. 20(1), 1-9. DOI:10.5098/hmt.20.14.
  • Hou, A., Jin, S., Harmuth, H. & Gruber, D. (2018). A method for steel ladle lining optimization applying thermomechanical modeling and taguchi approaches. The Journal of The Minerals, Metals & Materials Society (TMS). 70, 2449-2456. https://doi.org/10.1007/s11837-018-3063-1.
Go to article

Authors and Affiliations

Xiang Bai
1
Jia yang He
1
Hujun Mao
1
Guang qiang Liu
1

  1. University of Science and Technology Liaoning, School of Civil Engineering, China
Download PDF Download RIS Download Bibtex

Abstract

This article presents an evaluation of the quality of the connection between the ZrO2-Y2O3 coating with the NiAl interlayer and AlSi7Mg alloy casting, utilising the scratch test method. The study analysed the ZrO2-Y2O3 coating with the NiAl interlayer applied using the APS (Atmospheric Plasma Spraying) method. The chemical composition of the zirconia coating and the interlayer was analysed. The core element of the study involves scratch test examinations of the analysed coatings, determining their scratch resistance. Scanning electron microscopy was used to analyse the scratch area to identify any potential cracks or delaminations at the casting-NiAl interlayer boundary, and the NiAl interlayer-ZrO2-Y2O3 coating boundary. Based on the conducted studies, high-quality connection of the ZrO2-Y2O3 coating with the NiAl interlayer and the AlSi7Mg alloy casting was concluded. The results of these studies will form the basis for further work on the application of TBC (Thermal Barrier Coating) to improve the operational durability of aluminium alloy parts working under high-temperature conditions.
Go to article

Bibliography

  • Petrič, M., Zeka, B., Mrvar, P., Nagode, A., Vončina, M. & Balaško, T. (2022). Solidification behaviour and microstructure of AlSi7Mg cast alloy with addition of Li. Journal of Materials Research and Technology. 19, 2084-2092. https://doi.org/10.1016/j.jmrt.2022.05.171.
  • Pezda, J. (2022). Optimization of heat treatment parameters of AlSi7Mg alloy. Materials. 15(3), 1163, 1-16. https://doi.org/10.3390/ma15031163.
  • Timelli, G., Camicia, G., Ferraro, S. & Molina, R. (2014). Effects of grain refinement on the microstructure, mechanical properties and reliability of AlSi7Cu3Mg gravity die cast cylinder heads. Metals and Materials International. 20, 677-686. https://doi.org/10.1007/s12540-014-4013-2.
  • Dyzia, M. (2017). Aluminum matrix composite (AlSi7Mg2Sr0. 03/SiCp) pistons obtained by mechanical mixing method. Materials. 11(1), 42, 1-14. https://doi.org/10.3390/ma11010042.
  • Siadkowska, K. & Czyż, Z. (2019). Selecting a material for an aircraft diesel engine block. Combustion Engines. 58(3), 4-8. http://dx.doi.org/10.19206/CE-2019-301.
  • Natesan, E., Meyer, K. A., Eriksson, S., Ahlström, J. & Persson, C. (2020). Effects of dwell time on the deformation and fatigue behaviour of A356-T7 cast aluminium alloys used in high specific power IC engine cylinder heads. 13(12), 2727, 1-27. https://doi.org/10.3390/ma13122727.
  • Kumar, D. & Pandey, K.N. (2014). Study on thermal fatigue behavior of plasma sprayed yttria zirconia thermal barrier coatings (TBCs) systems on aluminum alloy. International Journal of Mechanical and Production Engineering. 2(3), 19-22. ISSN: 2320-2092. http://dx.doi.org/10.13140/2.1.1302.9769.
  • Sharma, P., Dwivedi, V.K. & Kumar, D. (2020). Effect of shape on the mechanical properties of thermal barrier coating of YSZ7-8. Materials Today: Proceedings. 26(2), 1921-1925. DOI: https://doi.org/10.1016/j.matpr.2020.02.420.
  • Kumar, D., Dwivedi, V.K. & Saraswat, A. (2022). Performance of 2024 aluminum alloy thermal barrier coating systems subjected to elevated temperature fluctuation as a fatigue. Sādhanā. 47(4), 216. https://doi.org/10.1007/s12046-022-01996-y.
  • Brusa, A., Cavina, N., Rojo, N., Mecagni, J., Corti, E., Ravaglioli, V., Cucchi, M. & Silvestri, N. (2021). Development and experimental validation of an adaptive, piston-damage-based combustion control system for Si engines: Part 1—evaluating open-loop chain performance. Energies. 14(17), 5367. https://doi.org/10.3390/en14175367.
  • Azadi, M., Mafi, A., Roozban, M. & Moghaddam, F. (2012). Failure analysis of a cracked gasoline engine cylinder head. Journal of Failure Analysis and Prevention. 12, 286-294. https://doi.org/10.1007/s11668-012-9560-6.
  • Mróz, M. & Rąb, P. (2023). Evaluation of the Possibility of Applying Thermal Barrier Coatings to AlSi7Mg Alloy Castings. Archives of Foundry Engineering. 23(3), 104-109. https://doi.org/10.24425/afe.2023.146668.
  • Bellippady, M., Björklund, S., Li, X.H., Frykholm, R., Kjellman, B., Joshi, S. & Markocsan, N. (2024). Performance of atmospheric plasma-sprayed thermal barrier coatings on additively manufactured super alloy substrates. Coatings. 14(5), 626, 1-17. https://doi.org/10.3390/coatings14050626
  • Sharma, P., Dwivedi, V.K. & Kumar, D. (2022). Characterisation of anode plasma deposited IN718 TBC system after thermal cycle shocking test. Advances in Materials and Processing Technologies. 8(sup2), 861-869. https://doi.org/10.1080/2374068X.2021.1948711.
  • Sharma, P., Dwivedi, V.K. & Kumar, D. (2021). A comparative analysis of different techniques of thermal barrier coating. In Recent Trends in Industrial and Production Engineering: Select Proceedings of ICAST 2020 (pp. 1-10). Springer Singapore. DOI: https://doi.org/10.1007/978-981-16-3135-1_1.
  • Taymaz, I. (2007). The effect of thermal barrier coatings on diesel engine performance. Surface and Coatings Technology. 201(9-11), 5249-5252. https://doi.org/10.1016/j.surfcoat.2006.07.123.
  • Liu, Y., Lei, J., Deng, X., Liu, Y., Sun, D. & Zhang, Y. (2023). Research and analysis of a thermal optimisation design method for aluminium alloy pistons in diesel engines. Case Studies in Thermal Engineering. 52, 103667, 1-14. https://doi.org/10.1016/j.csite.2023.103667.
  • Hazar, H. & Ozturk, U. (2010). The effects of Al2O3–TiO2 coating in a diesel engine on performance and emission of corn oil methyl ester. Renewable Energy. 35(10), 2211-2216. DOI: https://doi.org/10.1016/j.renene.2010.02.028.
Go to article

Authors and Affiliations

M.F. Mróz
1
P. Rąb
1

  1. Rzeszow University of Technology, Rzeszów, Poland
Download PDF Download RIS Download Bibtex

Abstract

Material wear strictly depends on hardness and microstructure, homogeneity of this microstructure in particular. The presence of retained austenite in the microstructure is not always the cause of the reduced wear resistance, though it is commonly believed that retained austenite has low hardness and is responsible for the accelerated wear of components. The aim of this study is to demonstrate that the hardness of retained austenite is similar to that of martensite and can even reach 900HV0.2, while its volume fraction, which for the tested alloy amounts to about 21%, depends to a very small extent only on the cooling intensity of the quenching medium. Reducing the cooling rate by quenching in air, when the cooling rate is the lowest, makes the volume fraction Vv of retained austenite increase to even 31%, while its hardness assumes the lowest value and decreases to slightly over 800HV0.2, similarly to the hardness of martensite, which decreases on average to approximately 850HV0.2. The occurrence of retained austenite and its high hardness should be associated with the primary segregation of elements such as Cr, Mo, Mn, Si, whose content assumes the highest values in the interdendritic areas.

Go to article

Bibliography

  • Przybyłowicz, K. (1997). Metal science. Warszawa: WNT. (in Polish).
  • Głownia, J. (2002). Alloy steel castings-applications. Kraków: Fotobit. (in Polish).
  • Dobrzański, L. (2006). Engineering materials and material design. Warszawa: WNT. (in Polish).
  • Metals Handbook. (1990). 10-th Ed., vol. 1. ASM International.
  • Głownia, J., Tęcza, G., Sobula, S., Kalandyk, B., Dzieja, A. (2007). Determination of the content and effect of residual austenite on the properties of cast L70H2GNM steel. Research done for Metalodlew S.A., unpublished. (in Polish).
  • Głownia, J. (2017). Metallurgy and technology of steel castings. Sharjah: Bentham Science Publishers.
  • Stradomski, Z. (2010). The role of microstructure in the wear behavior of abrasion-resistant cast steels. Częstochowa: Wydawnictwo Politechniki Częstochowskiej. (in Polish).
  • Wingens, T. (2021). Retained austenite benefits or avoidance requires dependable determination. In the 31st Heat Treating Society Conference and Exposition, 14-16 September 2021 (pp. 212-219). Louis, Missouri, USA. DOI: 10.31399/asm.cp.ht2021p0212.
  • Kobasko, N.I., Aronov, M.A., Powell, J.A., Vanas J.H. (2009). Intensive quenching of steel parts: equipment and method. In the 7th IASME/WSEAS International Conference on Heat Transfer, Thermal Engineering and Environment (HTE '09), 20-22 August 2009 (pp. 153–158). Moscow, Russia. DOI: 10.13140/RG.2.2.17040.56328.
  • Tęcza, G. (2023). Changes in the microstructure and abrasion resistance of tool cast steel after the formation of titanium carbides in the alloy matrix. Archives of Foundry Engineering. 23(4), 173-180. DOI: 10.24425/afe.2023.148961.
  • Głownia, J., Tęcza, G., Sobula, S., Kalandyk, B. & Dzieja A. Determination of the content and effect of residual austenite on the properties of cast L70H2GNM steel. Research done for Metalodlew S.A., unpublished. (in Polish).
  • Rothleutner, L. (2019, March 11). Retained austenite significant for strength, toughness. Retrieved September 15, 2024, from https://thermalprocessing.com/retained-austenite-significant-for-strength-toughness/.
  • Xiong, X.C., Chen, B., Huang, M.X., Wang, J.F. & Wang, L. (2013). The effect of morphology on the stability of retained austenite in a quenched and partitioned steel. Scripta Materialia. 68(5), 321-324. DOI: 10.1016/j.scriptamat.2012.11.003.
  • Sugimoto, K., Usui, N., Kobayashi, M. & Hashimoto, S. (1992). Effects of volume fraction and stability of retained austenite on ductility of TRIP-aided dual-phase steels. ISIJ International. 32(12), 1311-1318. DOI: 10.2355/isijinternational.32.1311.
  • Tkachev, E., Borisov, S., Borisova, Y., Kniaziuk, T., Belyakov, A. & Kaibyshev, R. (2024). Austenite stabilization and precipitation of carbides during quenching and partitioning (Q&P) of low-alloyed Si–Mn steels with different carbon content. Materials Science and Engineering A. 895, 146212, 1-15. DOI: 146212. 10.1016/j.msea.2024.146212.
  • Ma, T., Fu, B., Guan, W., Guo, Y., Fu, L. & Shan, A. (2024). Dissolution behavior of carbide in 4cr13 martensitic stainless steel during austenitizing. Journal of Materials Engineering and Performance. 34(6), 5394-5401. DOI: 10.1007/s11665-024-09509-0.
  • Chen, X. & Li, Y.X. (2006). Investigation of the influence of austempering processing on retained austenite amount of austempered high silicon cast steel. 55, 284-287.
  • Gu, J., Li, D., Liu, S. & Liu, Z. (2024). Microstructure and properties of Mn–Si–Cr alloy steel modified by quenching and partitioning. Materials Testing. 66(3), 305-315. DOI: 10.1515/mt-2023-0341.
Go to article

Authors and Affiliations

G. Tęcza
1
A. Garbacz-Klempka
1
ORCID: ORCID

  1. AGH University of Krakow, Poland
Download PDF Download RIS Download Bibtex

Abstract

The present study investigates the fewer strands casting operation in an industrial 12-strand tundish. Numerical simulations are employed to analyze the effects of different fewer strands casting cases on the molten steel flow, temperature distribution, and the length of the transition billet. Cases 1 to 4 are corresponding to the situations of all strand open, closure of strand 1, closure of strand 2, and closure of both strands 1 and 2, respectively. The results show that the volume fraction of slow-flow region is ranked as follows: Case 1 < Case 3 < Case 2 < Case 4. Fewer strands casting operation slightly increases the slow-flow volume, which hinders molten steel flow at the far-side strands 5 and 6. The residence time distribution (RTD) curve and flow characteristic results indicate that the Case 2 performs better than Case 3 in fewer strands casting, while Case 4 significantly worsens the molten steel flow at the far-side strands. The maximum temperature differences for Cases 1 to 4 are 30.9 K, 26.1 K, 28.7 K, and 26.4 K, respectively. In Case 2, the temperature profile of the near-side strands exhibits better consistency than in Case 3. The average length of transition billets is ranked in the following sequence: Case 4 < Case 2 < Case 3 < Case 1. Both case 2 and case 3 result in a reduced billet length compared to the normal casting condition in case 1. In all, the Case 2 i.e. close strand 1 is the optimum case when closing one strand in fewer strands casting operation. The closing of two strands is not recommended.
Go to article

Bibliography

  • Szekely, J., Ilegbusi, O.J. (1989). The physical and mathematical modeling of tundish operations. Heidelberg: Springer.
  • Sahai, Y. (2007). Tundish technology for clean steel production. World Scientific.
  • Geng, M., Wang, T. & Chen, C. (2024). Assessment of the volume effect and application of an improved tracer in physical model of a single-strand bare tundish. Metallurgical and Materials Transactions B. 55(5), 4121-4131. https://doi.org/10.1007/s11663-024-03308-7.
  • Cwudziński, A., Bul'ko, B. & Demeter, P. (2024). Numerical and physical modeling of steel flow behavior in the two strand tundish during nonconventional pouring conditions. Archives of Foundry Engineering. 24(4), 116-125. https://doi.org/10.24425/afe.2024.151319.
  • Chen, L., Chen, J.S., Li, Y.Q., Wang, S.B. & Chen, C. (2020). On the ladle shroud design and mis-alignment effects on the fluid flow in a metallurgical tundish- a CFD model study. In E3S Web of Conferences. 185, 04069, 1-4. http://doi.org/10.1051/e3sconf/202018504069.
  • Cao, J., Li, Y., Lin, W., Che, J., Zhou, F., Tan, Y., Li, D., Dang, J. & Chen, C. (2023). assessment of inclusion removal ability in refining slags containing Ce2O3. Crystals. 13(2), 202, 1-30. https://doi.org/10.3390/cryst13020202.
  • Wang, T., Chen, C., Tao, X., Wang, J., Geng, M., Song, J., Li, L., Fan, J. & Lin, W. (2024). Impact of slag layer on macroscopic flow inside tundish and velocity near slag-steel interface. The Chinese Journal of Process Engineering. 24(9), 1058-1069. http://doi.org/12034/j.issn.1009-606X.224058.
  • Wang, T., Wang, J., Chen, C., Chen, L., Geng, M., Song, J., Fan, J. & Lin, W. (2024). Physical and numerical study on right side and front side gas blowing at walls in a single-strand tundish. Steel Research International. 95(9), 2400037, 1-22. https://doi.org/10.1002/srin.202400037.
  • Chen, C., Ni, P., Jonsson, L.T.I., Tilliander, A., Cheng, G. & Jönsson, P. G. (2016). A model study of inclusions deposition, macroscopic transport, and dynamic removal at steel-slag interface for different tundish designs. Metallurgical and Materials Transactions B. 47(2), 1916-1932. https://doi.org/10.1007/s11663-016-0637-6.
  • Chen, C., Cheng, G.G., Yang, H.K. & Hou, Z.B. (2011). Physical modeling of fluid flow characteristics in a delta shaped, four-strand continuous casting tundish with different flow control devices. Advanced Materials Research. 284, 1071-1079. https://doi.org/10.4028/www.scientific.net/AMR.284-286.1071.
  • Zhao, S., Zhu, S., Ge, Y., Wang, J., Xu, D., Li, Z. & Chen, C. (2023). Simulation of fluid flow and inclusion removal in five-flow t-type tundishes with porous baffle walls. Metals. 13(2), 215, 1-15. https://doi.org/10.3390/met13020215.
  • Zhao, S., Lu, Z., Zhang, Z., Ma, Z., Cao, Y. & Tang, H. (2024). Formation factors of confluence vortex in double nozzle ladle at end of teeming. Iron and Steel. 59(05), 71-79. https://doi.org/10.13228/j.boyuan.issn0449-749x.20230579. (in Chinese)
  • Zhang, J., Li, J. & Yang, S. (2014). Optimization of fluid flow in a twelve-strand continuous casting tundish with two strands closed. Metalurgia International. 19(4), 10-13.
  • Zhang, L. (2005). Fluid flow, heat transfer and inclusion motion in a four‐strand billet continuous casting tundish. Steel Research International. 76(11), 784-796. https://doi.org/10.1002/srin.200506097.
  • Mishra, S.K., Jha, P.K., Sharma, S.C. & Ajmani, S.K. (2012). Effect of blockage of outlet nozzle on fluid flow and heat transfer in continuously cast multistrand billet caster tundish. Canadian Metallurgical Quarterly. 51(2), 170-183. https://doi.org/10.1179/1879139511Y.0000000032.
  • Sengupta, A., Mishra, P., Singh, V., Mishra, S., Jha, P.K., Ajmani, S.K. & Sharma, S.C. (2013). Physical modelling investigation of influence of strand blockage on RTD characteristics in a multistrand tundish. Ironmaking Steelmaking. 40(3), 159-166. https://doi.org/10.1179/1743281212Y.0000000054.
  • Merder, T. (2014). Numerical investigation of the hydrodynamic conditions in a multi-strand CC tundish with closed outlets. Archives of Metallurgy and Materials. 59(3), 887-892. https://doi.org/10.2478/amm-2014-0150.
  • Wang, X., Wang, S., Hu, H., Xie, X., Wu, C., Chen, D. & Long, M. (2023). Flow behavior of liquid steel in fewer strands casting of six-strand bloom tundish. Metals. 13(4), 706, 1-15. https://doi.org/10.3390/met13040706.
  • Fan, J., Li, Y., Chen, C., Ouyang, X., Wang, T. & Lin, W. (2022). Effect of uniform and non-uniform increasing casting flow rate on dispersion and outflow percentage of tracers in four strand tundishes under strand blockage conditions. Metals. 12(6), 1016, 1-28. https://doi.org/10.3390/met12061016.
  • Song, J., Luo, Y., Li, Y., Guo, Z., Wang, T., Geng, M., Lin, W., Fan, J. & Chen, C. (2024). Comparison of fluid flow and tracer dispersion in four-strand tundish under fewer strand casting and sudden blockage of strand conditions. 14(5), 571, 1-32. https://doi.org/10.3390/met14050571.
  • Ramstorfer, F. & Delane de Souza, M. (2022). Reduction of incompatible intermixing of different steel grades in continuous casting by optimizing the casting sequence. International Journal of Cast Metals Research. 35(3), 43-50. https://doi.org/10.1080/13640461.2022.2078550.
  • Tsai, M.C. & Green, M. J. (1991). A three-dimensional concurrent numerical simulation of molten steel behavior and chemical transition at inland steel's No. 2 caster tundish. In Steelmaking Conference Proceedings. 74, 501-504.
  • Yeh, J.L., Hwang, W.S. & Chou, C.L. (1993). The development of a mathematical model to predict composition distribution in casting slab and intermix slab length during ladle changeover period and its verification by physical model. ISIJ International. 33(5), 588-594. https://doi.org/10.2355/isijinternational.33.588.
  • Chen, H.S. & Pehlke, R.D. (1996). Mathematical modeling of tundish operation and flow control to reduce transition slabs. Metallurgical and Materials Transactions B. 27(5), 745-756. https://doi.org/10.1007/BF02915603.
  • Guarneros, J., Morales, R.D. & Gutierrez, E. (2023). Optimized fluid flow control system for a tundish used in frequent steel grade change operations. Steel Research International. 94(6), 2200809, 1-17. https://doi.org/10.1002/srin.202200809.
  • Xu, D., Rogler, J.P., Heaslip, L.J., Dorricott, J. D., Foss, R. (2002). Dynamic flow behavior in the tundish: optimization of grade transitions. In 60 th Electric Furnace Conference, 10-13 November 2002 (pp.745-754). San Antonio, Texas, USA.
  • Amorim, L.L., Silva, C.A., Resende, A.D., Silva, I.A. & Oliveira, M.J. (2018). A study of intermix in a six-strand billet caster. Metallurgical and Materials Transactions A. 49, 6308-6324. https://doi.org/10.1007/s11661-018-4915-6.
  • Cwudziński, A., Pieprzyca, J. & Merder, T. (2023). Numerical and physical modeling of liquid steel asymmetric behavior during non-isothermal conditions in a two-strand slab tundish-“Butterfly Effect”. Materials. 16(21), 6920, 1-18. https://doi.org/10.3390/ma16216920.
  • Burns, M.T., Schade, J., Brown, W.A. & Minor, K.R. (1992). Transition model for armco steel's ashland slab caster. Iron steelmaker. 19(11), 35-39. ISSN: 0275-8687.
  • Song, S., Sun, Y. & An, H. (2023). Numerical modeling of grade mixing and inclusion entrapment in eight strand billet tundish. Metallurgical Research & Technology. 120(1), 112-127. https://doi.org/10.1051/metal/2023006.
  • Song, S., Sun, Y. & Chen, C. (2024). Numerical simulation of macro-segregation phenomena in transition blooms with various carbon contents. 14(3), 263, 1-19. https://doi.org/10.3390/met14030263.
  • Song, S., Sun, Y., Zhou, W., Yang, J. & Yang, W. (2024). The effect of steel grade casting sequence on the length of transition bloom. Metallurgical and Materials Transactions B. 55(3), 1795-1811. https://doi.org/10.1007/s11663-024-03067-5.
  • Ren, M., Zhi, J., Fan, Z., Wang, R., Chen, Y. & Yang, J. (2023). Influence of ladle exchange on inclusions in transition slabs of continuous casting for automotive exposed panel steel. Metals. 13(2), 404, 1-18. https://doi.org/10.3390/met13020404.
  • Hou, Z., Cheng, G., Wu, C. & Chen, C. (2012). Time-series analysis technologies applied to the study of carbon element distribution along casting direction in continuous-casting billet. Metallurgical and materials transactions B. 43(5). 1517-1529. https://doi.org/10.1007/s11663-012-9732-5.
  • He, F., Wang, H. & Zhu, Z. (2019). Numerical investigation of effect of casting speed on flow characteristics of molten steel in multistrand tundish. ISIJ International. 59(7), 1250-1258. https://doi.org/10.2355/isijinternational.ISIJINT-2018-835.
Go to article

Authors and Affiliations

Yali Zhang
1
Jintao Song
2
Chao Chen
2

  1. Lvliang University, China
  2. Taiyuan University of Technology, China
Download PDF Download RIS Download Bibtex

Abstract

This paper reports the results of research on the effects of drawing speed on the structures and properties of leaded brass. The material used for the study was obtained via a laboratory horizontal continuous casting process. Horizontal continuous casting in a graphite mold represents a fast method for producing crystalline materials. In this process, molten metal crystallizes in a graphite mould on which a water-cooled copper jacket is applied. This step is often called primary cooling, as opposed to secondary cooling, which involves pouring water onto the surface of the rod using special nozzles. The crystallized rod is pulled out using a withdrawal unit (drawing speed). In brass, zinc causes the formation of alpha (α) and beta prim (β′) phases. The effects of drawing speed on the structure and properties of brass rods obtained in the laboratory horizontal continuous casting process were analysed. The chemical composition, macrostructure, microstructure, mechanical properties, surface roughness and conductivity properties were investigated. An increase in the drawing speed in the analysed range causes a refinement of the microstructure and growth of the grain boundaries. As the grain size decreases, the Vickers hardness and proof stress (Rp0.2) of the cast brass increase, the total extension at fracture (At), and the surface quality decrease.
Go to article

Bibliography

  • Lu, L., Shen, Y., Chen, X., Qian, L. & Lu, K. (2004). Ultrahigh strength and high electrical conductivity in copper. 304(5669), 422-426. DOI: 10.1126/science.1092905.
  • Han, D., Kim, G.-H., Kim, J. & Ahn, B. (2020). Effect of Al/Cu weight fraction on the mechanical and electrical properties of Al-Cu conductors for overhead transmission lines. Archives of Metallurgy and Materials. 65(3), 1019- DOI: 10.24425/amm.2020.133210.
  • Hu, H., Yan, J., Sævik, S., Ye, N., Lu, Q. & Bu, Y. (2022). Nonlinear bending behavior of a multilayer copper conductor in a dynamic power cable. Ocean Engineering. 250, 110831, 1-11. DOI: 1016/j.oceaneng.2022.110831.
  • Piekoś, M., Garbacz-Klempka, A., Kozana, J. & Żak, P.L. (2020). Impact of Ti and Fe on the microstructure and properties of copper and copper alloys. Archives of Foundry Engineering. 20(4), 83-90. DOI: 10.24425/afe.2020.133352.
  • Rzadkosz, S., Garbacz-Klempka, A., Kozana, J., Piekoś, M. & Kranc, M. (2014). Structure and properties research of casts made with copper alloys matrix. Archives of Metallurgy and Materials. 59(2), 775-778. DOI: 10.2478/amm-2014-0131.
  • Kranc, M., Sikora, G., Górny, M. & Garbacz-Klempka, A. (2017). The influence of Mg additive on the structure and electrical conductivity of pure copper castings. Archives of Foundry Engineering. 17(4), 85-90. DOI: 10.1515/afe-2017-0135.
  • Krupińska, B., Chulist, R., Kondracki, M. & Labisz, K. (2023). Thermoplastic hardened Cu-Ni-Si-Ag alloy. Bulletin of the Polish Academy of Sciences. Technical Sciences. 71(2), 85-90. DOI: 10.24425/bpasts.2023.145683.
  • Stavroulakis, P., Toulfatzis, A.I., Pantazopoulos, G.A. & Paipetis, A.S. (2022). Machinable leaded and eco-friendly brass alloys for high performance manufacturing processes: A critical review. Metals. 12(2), 246, 1-31. DOI: 10.3390/met12020246.
  • Hsieh, C., Wang, J., Wu, P.T. & Wu, W. (2013). Microstructural development of brass alloys with various Bi and Pb additions. Metals and Materials International. 19, 1173-1179. DOI: 10.1007/s12540-013-6002-2.
  • Pantazopoulos, G. (2002). Leaded brass rods C38500 for automating machining operations: A technical report. Journal of Materials Engineering and Performance. 11(4), 402-407. DOI: 10.1361/105994902770343926.
  • Atsumi, H., Imai, H., Li, S., Kondoh, K., Kousaka, Y. & Kojima, A. (2012). Fabrication and properties of high-strength extruded brass using elemental mixture of Cu-40% Zn alloy powder and Mg particle. Materials Chemistry and Physics. 135(2-3), 554-562. DOI: 10.1016/j.matchemphys.2012.05.025.
  • Biernat, S. & Bydałek, A.W. (2014). Optimization of the brass melting. Archives of Foundry Engineering. 14(3), 5-10. DOI: 10.2478/afe-2014-0051.
  • Kwapisiński, P., Lipnicki, Z., Ivanova, A.A. & Wolczyński, W. (2017). Role of the structural and thermal peclet numbers in the brass continuous casting. Archives of Foundry Engineering. 17(2), 49-54. DOI: 10.1515/afe-2017-0050.
  • Wolczyński, W., Lipnicki, Z., Bydałek, A.W. & Ivanova, A.A. (2016). Structural zones in large static ingot. Forecasts for continuously cast brass ingot. Archives of Foundry Engineering. 16(3), 141-146. DOI: 10.1515/afe-2016-0067.
  • Anakhov, S. & Fominykh, S. (1997). Effect of the cooling rate after remelting on the structure of antifriction brass. Metal Science and Heat Treatment. 39(6), 240-243. DOI: 10.1007/bf02467227.
  • Kwaśniewski, P., Najman, K., Wolczyński, W., Bydałek, A.W. & Schlafka, P. (2018). Determination of the technological parameters process for continuously cast brass ingot. Archives of Foundry Engineering. 18(10), 9-14. DOI: 10.24425/118803.
  • Chen, W., Jia, Y., Jiang, Y., Wang, M., Derby, B. & Lei, Q. (2017). Effect of addition of Ni and Si on the microstructure and mechanical properties of Cu–Zn alloys. Journal of Materials Research. 32(16), 3137-3145. DOI: 10.1557/jmr.2017.145.
  • Greß, T., Nardi, V.G., Mittler, T., Schmid, S., Buchberger, P., Tonn, B. & Volk, W. (2019). Interface formation and characterization of brass/aluminum compounds fabricated through die casting and semi-continuous casting. International Journal of Metalcasting. 14(2), 564-579. DOI: 10.1007/s40962-019-00387-0.
  • Wolczyński, W. (2018). Nature of segregation in the steel static and brass continuously cast ingots. Archives of Metallurgy and Materials. 63(4), 1915-1922. DOI: 10.24425/amm.2018.125124.
  • Bydałek, A.W., Kula, A., Błaż, L. & Najman, K. (2019). Analysis of the impact of modifiers on the formation of non-metallic inclusions during continuous casting of CuZn39Pb2 brass. Archives of Foundry Engineering. 19(3), 21-26. DOI: 10.24425/afe.2019.127132.
  • Jabłoński, M., Knych, T., Mamala, A. & Palczewski, M. (2015). Influence of casting velocity on structure and properties of AlFe0,5 alloy. Key Engineering Materials. 641, 56-62. DOI: 10.4028/www.scientific.net/kem.641.56.
  • Cottrell, A. (1953). LXXXVI. a note on the portevin-le chatelier effect. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science. 44(355), 829-832. DOI: 10.1080/14786440808520347.
Go to article

Authors and Affiliations

M. Jabłoński
1

  1. AGH University of Krakow, Poland
Download PDF Download RIS Download Bibtex

Abstract

The contribution deals with the effect of the geometry and location of the gates on the filling of the mold and on the resulting state of the aluminum alloy casting. This casting is cast into a sand mold from a uniform bentonite mixture, so there isn't much possibility of significantly interfering with the cooling effect of the mold. This is a casting for the automotive industry, specifically the gearbox cover, made of AlSi7Mg0.6. We are able to prevent errors and possible defects in castings by performing optimization. The aim of the experiment is to optimize the gates from the initial state, which would ensure better conditions for the flow of liquid metal in the mold and improve homogeneity throughout the casting. Optimizing should lead to the best result where all goals are in balance. The optimizations will be processed using the numerical calculation program MAGMASOFT, which allows for detailed simulation of the casting process. Some of the results will be shown graphically and comparisons of designs and variants will be shown in images from the simulations.
Go to article

Bibliography

  • Kaschnitz, E., Heugenhauser, S. & Schumacher, P. (2015). A benchmark for the validation of solidification modelling algorithms. IOP Conference Series: Materials Science and Engineering. 84(1), 012051, 1-7. DOI: 10.1088/1757-899X/84/1/012051.
  • Walker, J., Harris, E., Lynagh, C., Beck, A., Lonardo, R., Vuksanovich, B., Thiel, J., Rogers, K., Conner, B. & MacDonald, E. (2018). 3D printed smart molds for sand casting. International Journal of Metalcasting. 12, 785-796. https://doi.org/10.1007/s40962-018-0211-x.
  • Neves, S., Schäfer, W. & Hansen, P.N. (2002). The sensibility of thermophysical property data for simulating casting processes. International Journal of Thermophysics. 23(5), 1391-1399. https://doi.org/10.1023/A:1019877211862.
  • Kotas, P. (2011). Integrated modelinf of process, structures and performance in cast parts. PhD Thesis, Technical University of Denmark.
  • Zhou, H.J., Lu, J.C., Wu, S.T. & Chang, Y.Q. (2019). Analysis of die casting process and defect improvement of gearbox case. Special Casting & Nonferrous Alloy. 39, 1216-1219.
  • Ponnusamy, P., Rashid, R.A.R., Masood, S.H., Ruan, D. & Palanisamy, S. (2020). Mechanical properties of SLM-printed aluminium alloys: a review. Materials. 13(19), 4301, 1-51. https://doi.org/10.3390/ma13194301.
  • Dong, Y., Su, F., Zhu, G. & Yang, G. (2019). Study and implementation of a variable parameter modeling for die casting mold generation. The International Journal of Advanced Manufacturing Technology. 105(7), 3543-3561.
  • Huang, M., Zhou, Q., Wang, J. & Li, S. (2021). Die casting die design and process optimization of aluminum alloy gearbox shell. Materials. 14(14), 3999, 1-14. https://doi.org/10.3390/ma14143999.
  • Irfan, M. A., Schwam, D., Karve, A. & Ryder, R. (2012). Porosity reduction and mechanical properties improvement in die cast engine blocks. Materials Science and Engineering: A. 535, 108-114.
  • Cao, H., Hao, M., Shen, C. & Liang, P. (2017). The influence of different vacuum degree on the porosity and mechanical properties of aluminum die casting. Vacuum. 146, 278-281..
  • Cagala, M., Břuska, M., Lichý, P., Beňo, J. & Špirutová, N. (2013). Influence of aluminium-alloy remelting on the structure and mechanical properties. Materials and technology. 47(2), 239-243. ISSN: 1580:2949.
  • Chakravarti, S. & Sen, S. (2023). An investigation on the solidification and porosity prediction in aluminium casting process. Journal of Engineering and Applied Science. 70(1), 1-24. https://doi.org/10.1186/s44147-023-00190-z.
  • Kroupová, I., Gawronová, M., Lichý, P., Merta, V., Radkovský, F., Janovská, K., Nguyenová, I., Beňo, J., Obzina, T., Vasková, I., Lána, I. & Rygel, J. (2021). Preparation of cast metallic foams with irregular and regular inner structure. Materials. 14(22), 6989, 1-19. https://doi.org/10.3390/ma14226989.
  • Özaydın, O. & Dikicioğlu, A. (2023). Product development of alternative alloy wheel material with improved mechanical properties. International Journal of Metalcasting. 17(3), 2085-2102. https://doi.org/10.1007/s40962-022-00914-6.
  • Pavlak, L. & Sturm, J.C. (2017). Reduction of oxide inclusions in aluminum cylinder heads through autonomous designs of experiments. International Journal of Metalcasting. 11(2), 174-188. https://doi.org/10.1007/s40962-016-0096-5.
  • Walek, J., Michalek, K., Tkadlečková, M. & Saternus, M. (2021). Modelling of technological parameters of aluminium melt refining in the ladle by blowing of inert gas through the rotating impeller. Metals. 11(2), 284, 1-14. https://doi.org/10.3390/met11020284.
  • Altuncu, E., Doğan, A. & Ekmen, N. (2019). Performance evaluation of different air venting methods on high pressure aluminum die casting process. Acta Physica Polonica A. 135(4), 664-667.
  • El-Fotouh, M.R.A., Shash, A.Y. & Gadallah, M.H. (2018). Semi-automated gating system design with optimum gate and overflow positions for aluminum HPDC. Advanced Structured Materials. 72, 37-51. https://doi.org/10.1007/978-3-319-59590-0_4.
  • Bruna, M. & Galcik, M. (2021). Casting quality improvement by gating system optimization. Archives of Foundry Engineering. 21(1), 132-136. DOI: 10.24425/afe.2021.136089.
  • Dojka, R., Jezierski, J. & Tiedje, N. S. (2019). Geometric form of gating system elements and its influence on the initial filling phase. Journal of Materials Engineering and Performance. 28, 3922-3928. https://doi.org/10.1007/s11665-019-03973-9.
  • Guo, S.R., Zhou, CH., Dong, X., Xiang, D, Li, S., Liu, Z. & Cao, H. (2024). A transformation method for gating system designing between similar castings. Journal of Manufacturing Proces. 112, 82-91. https://doi.org/10.1016/j.jmapro.2024.01.034.
Go to article

Authors and Affiliations

K. Dobiašovská
1
F. Radkovský
1
ORCID: ORCID

  1. VSB - Technical University of Ostrava, Czech Republic
Download PDF Download RIS Download Bibtex

Abstract

The microstructural fracture mechanism of normalising heat treated low-alloy medium-carbon cast steels having a pearlitic-ferritic or multiphase pearlitic-ferritic-martensitic-bainitic microstructure has been investigated using metallography and mechanical testing methods. Four experimental cast steels in the form of plates having dimensions of 400 mm x 135 mm x 15 mm obtained under laboratory conditions were tested. The porosity of the castings was determined using the comparative hydrostatic weighing method (Archimedes' method). The mean porosity of the investigated cast plates was in the range of 0.52-1.18%. The plates were normalised using austenitising temperature just above Ac3, annealing time 30 minutes and various rates of cooling, what resulted in multiphase microstructure. For characterisation of mechanical properties in as cast and heat treated conditions tensile tests and hardness measurements were carried out. As a result of optimisation of chemical composition and normalising parameters of the experimental cast steels yield strength reached 407-440 MPa, tensile strength attained 586-601 MPa and elongation amounted to 6-8%. The obtained mechanical properties are higher than properties of standard grades of structural cast steels in normalised condition. The microstructure was observed and described using light microscopy and scanning electron microscopy. The phenomenon of fracture in pearlitic-ferritic areas takes place through the coalescence of newly formed cracks and existing cavities, producing dimple-cleavage morphology of fracture surface. In martensitic and bainitic areas, the propagation of fracture results from the growth and coalescence of newly formed cracks.
Go to article

Bibliography

  • Garbarz, B. (2018). Structure of continuously cast ingots of unalloyed and low alloy steels and its evolution as a result of hot working. Prace Instytutu Metalurgii Żelaza. 70(4), 2-23. (in Polish).
  • Mahomed, N. (2020). Shrinkage porosity in steel sand castings: formation, classification and inspection. In Z. Abdallah, N. Aldoumani (Eds.), Casting Processes and Modelling of Metallic Materials (pp. 133-151). DOI: 10.5772/intechopen.94392.
  • Kostryzhev, A.G., Morales-Cruz, E.U., Zuno-Silva, J., Cardoso-Legorreta E., Ruiz-Lopez I. & Pereloma, E.V. (2017). Vanadium Microalloyed 0.25 C Cast Steels Showing As-Forged Levels of Strength and Ductility. Steel Research International. 83(3), 1600166, 1-11. https://doi.org/10.1002/srin.201600166.
  • Herion, S., de Oliveira, J.C., Packer, J.A., Christopoulos, C. & Gray, M.G. (2010). Castings in tubular structures – the state of the art. Structures and Buildings. 163(6), 403-415. https://doi.org/10.1680/stbu.2010.163.6.403.
  • Hardin, R.A. & Beckermann, C. (2012). Integrated design of castings: effect of porosity on mechanical performance. IOP Conference Series: Materials Science and Engineering. 33(1), 012069, 1-8. DOI: 10.1088/1757-899X/33/1/012069.
  • Hardin, R.A. & Beckermann C. (2013). Effect of porosity on deformation, damage, and fracture of cast steel. Metallurgical and Materials Transactions A. 44(12), 5316-5332. https://doi.org/10.1007/s11661-013-1669-z.
  • Susan, D.F., Crenshaw, T.B. & J. S. Gearhart, J.S. (2015). The effects of casting porosity on the tensile behavior of investment cast 17-4PH stainless steel. Journal of Materials Engineering and Performance. 24, 2917-2924. https://doi.org/10.1007/s11665-015-1594-y.
  • Besson, J. (2010). Continuum models of ductile fracture - A review. International Journal of Damage Mechanics. 19(1), 3-52. https://doi.org/10.1177/1056789509103482.
  • Yan, H., Jin, H. & Yao, R. (2020). Prediction of the damage and fracture of cast steel containing pores. International Journal of Damage Mechanics. 29(1), 166-183. https://doi.org/10.1177/1056789519872000.
  • Wcislik, W. (2016). Experimental determination of critical void volume fraction fF for the Gurson Tvergaard Needleman (GTN) model. Procedia Structural Integrity. 2, 1676-1683. https://doi.org/10.1016/j.prostr.2016.06.212.
  • Lachowski, J. & Borowiecka-Jamrozek, J. (2021). Analysis of fracture mechanism of cast steel for different states of stress. Archives of Foundry Engineering. 21(2), 29-34. DOI: 10.24425/afe.2021.136094.
  • Kossakowski, P.G. (2017). Experimental determination of the void volume fraction for S235JR steel at failure in the range of high stress triaxialities. Archives of Metallurgy and Materials. 62(1), 167-172. DOI: 10.1515/amm-2017-0023.
  • Zhang, Y., Zheng, J., Shen, F., Li, D., Münstermann, S., Han, W., Huang, S. & Li, T. (2023). Ductile fracture prediction of HPDC aluminum alloy based on a shear-modified GTN damage model. Engineering Fracture Mechanics. 291, 109541, 1-21. https://doi.org/10.1016/j.engfracmech.2023.109541.
  • Bernauer, G., Brocks, W. & Schmitt, W. (1999). Modifications of the Beremin model for cleavage fracture in the transition region of a ferritic steel. Engineering Fracture Mechanics. 64(3), 305-325. https://doi.org/10.1016/S0013-7944(99)00076-4.
  • Catel, E., Dahl, A., Lorentz, E., Besson, J. (2023). Coupling of a gradient-enhanced GTN model to the Beremin model for the simulation of ductile-to-brittle transition. In 15th International Conference on Fracture (ICF15), June 11-16 2023. Atlanta, GA USA.
  • Iza-Mendian, A. & Gutierrez, I. (2013). Generalization of the existing relations between microstructure and yield stress from ferrite–pearlite to high strength steels. Materials Science & Engineering A. 561, 40-51. https://doi.org/10.1016/j.msea.2012.10.012.
  • Pickering, F.B. (1978). Physical Metallurgy and the Design of Steels. London: Applied Science Publishers Ltd.
  • Bruce, D., Paradise, P., Saxena, A., Temes, S., Clark, R., Noe, C., Benedict, M., Broderick, T. & Bhate, D. (2022). A critical assessment of the Archimedes density method for thin-wall specimens in laser powder bed fusion: Measurement capability, process sensitivity and property correlation. Journal of Manufacturing Processes. 79, 185-192. https://doi.org/10.1016/j.jmapro.2022.04.059.
  • Hayu, R., Sutanto, H. & Ismail, Z. (2019). Accurate density measurement of stainless steel weights by hydrostatic weighing system. Measurement 131, 120-124. https://doi.org/10.1016/j.measurement.2018.08.033.
  • Park, J.J. (2018). Prediction of Void Closure in Metal Forming: One Cylindrical Through-hole. ISIJ International. 58(6), 1102-1107. http://dx.doi.org/10.2355/isijinternational.ISIJINT-2018-037.
  • Chen, F., Zhao, X., Chen, H. & Ren J. (2020). Void closure behavior during plastic deformation using the representative volume element model. Applied Physics A. 126, 685, 1-13. https://doi.org/10.1007/s00339-020-03881-z.
  • Zhang, M.X. & Kelly, P.M. (2009). The morphology and formation mechanism of pearlite in steels. Materials Characterization. 60(6), 545-554. https://doi.org/10.1016/j.matchar.2009.01.001.
  • Verhoeven, J.D. & Gibson, E.D. (1998). The divorced eutectoid transformation in steel. Metallurgical and Materials Transaction A. 29(4), 1181- 1189. https://doi.org/10.1007/s11661-998-0245-4.
  • Pandit, A.S. & Bhadeshia, H.K.D.H. (2012). Divorced pearlite in steels. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 468(2145), 2767-2778. DOI: 10.1098/rspa.2012.0115.
  • Yasuda, T. & Nakada, N. (2021). Effect of carbon concentration in austenite on cementite morphology in pearlite. ISIJ International. 61(1), 372-379. https://doi.org/10.2355/isijinternational.ISIJINT-2020-325.
  • Andrews, K.W. (1965). Empirical formulae for the calculation of some transformation temperatures. Journal of the Iron and Steel Institute. 203, 721-727.
  • Kim, H., Inoue, J., Okada, M. & Nagata, K. (2017). Prediction of Ac3 and martensite start temperatures by a data-driven model selection approach. ISIJ International. 57(12), 2229-2236. https://doi.org/10.2355/isijinternational.ISIJINT-2017-212.
  • Wei, S. & Lu, S. (2012). Effects of multiple normalizing processes on the microstructure and mechanical properties of low carbon steel weld metal with and without Nb. Materials and Design. 35, 43-54. https://doi.org/10.1016/j.matdes.2011.09.065.
  • Senk, D., Engl, B., Siemon, O. & Stebner, G. (1999). Investigation of solidification and microsegregation of near-net-shape cast carbon steel. Steel Research. 70(8-9), 368-372. https://doi.org/10.1002/srin.199905655.
  • Ueshima, Y., Mizoguchi, S., Matsumiya, T. & Kajioka, H. (1986). Analysis of Solute Distribution in Dendrites of Carbon Steel with δ / γ Transformation during Solidification. Metallurgical Transactions B. 17, 845-859. https://doi.org/10.1007/BF02657148.
  • Garbarz, B. & Pickering, F.B. (1988). Effect of pearlite morphology on impact toughness of eutectoid steel containing vanadium. Materials Science and Technology. 4 (4), 328-334. https://doi.org/10.1179/mst.1988.4.4.328.
  • Naylor, J.P. (1979). The influence of the lath morphology on the yield stress and transition temperature of martensitic – bainitic steels. Metallurgical Transaction. 10A, 861-873. https://doi.org/10.1007/BF02658305.
  • Uthaisangsuk, V., Prahl, U. & Bleck, W. (2011). Modelling of damage and failure in multiphase high strength DP and TRIP steels. Engineering Fracture Mechanics. 78, 469-486. https://doi.org/10.1016/j.engfracmech.2010.08.017.
  • Lin, M, Yu, H., Ding, Y., Olden, V., Alvaro, A., He, J. & Zhang Z. (2022). Simulation of ductile-to-brittle transition combining complete Gurson model and CZM with application to hydrogen embrittlement. Engineering Fracture Mechanics. 268, 108511 1-16. https://doi.org/10.1016/j.engfracmech.2022.108511.
Go to article

Authors and Affiliations

B. Garbarz
1
W. Spiewok
1

  1. Łukasiewicz Research Network - Upper Silesian Institute of Technology, Gliwice, Poland
Download PDF Download RIS Download Bibtex

Abstract

This paper presents an innovative ceramic mould manufacturing technology aimed at improving the driftability of particularly difficult castings, which are characterised by complex geometry and a high tendency to bake/clog the mass in critical areas of the mould (holes, closed casting spaces, corners, sharp edges, variable cross-sections). Traditional ceramic moulds, despite their strength, often create problems during the casting knockout process, leading to casting damage and increased cleaning costs.
The new technology is based on the use of a hybrid mould structure, the essence of which is the production of layers in the ceramic mould, in the central zone of the mould, characterised by a significantly reduced final strength, achieved after firing. These layers are made on the basis of an organic binder. As a result, excellent driftability of the castings and effective separation of ceramic residues from the surface of the castings is achieved due to the embedded layer. The special layers can be incorporated over the entire surface or only in the areas where fusion of the casting surface with the ceramic mass occurs.
Tests conducted have shown that the developed technology significantly improves the driftability of ceramic moulds, especially for castings with complex geometries, where traditional methods fail. The introduction of this innovation has the potential to be widely applied in various industries where the requirements for precision and quality of castings are very high, such as the aerospace, energy and automotive industries.

Go to article

Bibliography

  • Małek, M., Wiśniewski, P., Matysiak, H., Nawrocki, J. & Kurzydłowski, K. J. (2013). Yttrium (III) oxide application for manufacturing prime coat of ceramic shell moulds used in investment casting. Szkło i Ceramika. 64(6), 8-11. (in Polish).
  • Matysiak, H., Ferenc, J., Lipiński, Z., Grabarz, K., Michalski, J. & Kurzydłowski, K.J. (2009). Characterization and monitoring of technological parameters of ceramic slurries used in the investment casting process of aircraft turbine elements using the Bridgman technique. Inżynieria Materiałowa. 30(4), 239-244. (in Polish).
  • Karwiński, A. (2014). Technological parameters of the process of making moulds of ceramic with the participation of water silicate binder. In K. Swiatkowski (Eds.)., Polish Metallurgy in 2011-2014 (pp. 529–541). Kraków: AKAPIT. (in Polish).
  • Karwiński, A. & Żółkiewicz, Z. (2014). The research of properties of experimental ceramic layers. Archives of Metallurgy and Materials. 59(2), 703-705. DOI: 10.2478/amm-2014-0115.
  • Liu, W. H., Jia, X., Song, L. & Li, Y. M. (2023). Effects of binder components and PVA modifier on bonding performance of phosphate binder for sand core-making. China Foundry. 20(2), 134-138. https://doi.org/10.1007/s41230-023-1021-1.
  • Pattnaik, S.R. (2017). An investigation on enhancing ceramic shell properties using naturally available additives. The International Journal of Advanced Manufacturing Technology. 91, 3061-3078. https://doi.org/10.1007/s00170-016-9975-4.
  • Soroczyński, A., Haratym, R. & Biernacki, R. (2019). The role of recycled ceramic material obtained from the ceramic layered moulds used in the investment casting. Archives of Foundry Engineering. 19(1), 71-74. DOI: 10.24425/afe.2018.125194.
  • Kolczyk, J., Zych, J. & Jamrozowicz, Ł. (2017). Influence of the Al2O3 solid phase on the kinetics of binding ceramic moulds. Archives of Foundry Engineering. 17(4), 91-96. DOI: 10.1515/afe-2017-0136.
  • Kolczyk, J. & Zych, J. (2013). Kinetics of hardening and drying of ceramic moulds with the new generation binder – colloidal silica. Archives of Foundry Engineering. 13(4), 112-116. DOI: 10.2478/afe-2013-0093.
  • Tabor, A., Rączka, J.S. (1998). Casting design and mould technology. Kraków: Fotobit. (in Polish).
  • Skarbiński, M. (1957). Casting construction. Warszawa: Państwowe Wydawnictwo Techniczne. (in Polish).
  • Kolczyk-Tylka J., Zych J. (2023). Investigations concerning improvements of the knock out property of ceramic moulds applied in the investment casting technology. Archives of Foundry Engineering. 23(4), 1-6. DOI: 10.24425/afe.2023.146676.
  • Lu K, Liu X & Duan Z (2019). Effect of firing temperature and time on hybrid fiber-reinforced Shell for investment casting. International Journal of Metal Casting. 13, 666-673. https://doi.org/10.1007/s40962-018-0280-x.
  • Pająk, J., Ziemski, M. & Nowak, B. (2010). Poly (vinyl alcohol) – biodegradable vinyl material. Chemik. 64(7-8), 523-530. (in Polish).
  • Rohini, Kumar, D.B., Rami, Reddy, M., Mulay, V.N. & Krishnamurti, N. (2000). Acrylic co-polymer emulsion binders for green machining of ceramics. European Polymer Journal. 36(7), 1503-1510. DOI: 10.1016/S0014- 3057(99)00199-8.
  • Assefa Aragaw T. & Kuraz (2019). Physico-chemical characterizations of ethiopian kaolin for industrial applications: case study WDP propoxur formulations. Advances of Science and Technology. ICAST. 274, 122-134. https://doi.org/10.1007/978-3-030-15357-1_10.
  • Kharazmi, A., Faraji, N., Hussin, R. M., Saion, E., Yunus, W. M. M., & Behzad, K. (2015). Structural, optical, opto-thermal and thermal properties of ZnS–PVA nanofluids synthesized through a radiolytic approach. Beilstein Journal of Nanotechnology. 6(1), 529-536. https://doi.org/10.3762/bjnano.6.55.
  • Sumer Gaaz T., Bakar Sulong A., Niaz Akhtar M., Amir H A.. Abu Bakar Mohamad K. & Al-Amiery A. (2015). Properties and applications of polyvinyl alcohol, halloysite nanotubes and their nanocomposites. Molecules. 20(12), 22833-22847; https://doi.org/10.3390/molecules201219884.
Go to article

Authors and Affiliations

J. Kolczyk-Tylka
1

  1. AGH University of Krakow, Poland
Download PDF Download RIS Download Bibtex

Abstract

Oxide metallurgy technology has become a core strategy for optimizing the microstructure and properties of the heat-affected zone (HAZ) in welding by precisely controlling the micro-characteristics of oxide inclusions in steel. This paper systematically reviews the research progress in revealing the adsorption behavior of inclusions, bulk phase stability, cluster evolution, interfacial interaction, and corrosion mechanism at the atomic scale based on first-principles calculations using density functional theory (DFT). Studies have shown that this method can accurately analyze the heterogeneous nucleation mechanism of complex inclusions and optimize the size and distribution of inclusions through parameters such as interfacial energy and adhesion work, thereby significantly improving the mechanical properties of HAZ by pinning austenite grain boundaries and inducing intragranular ferrite nucleation. In addition, the corrosion sensitivity of inclusions can be predicted through work function calculations. Current challenges are focused on the unified model of intragranular nucleation kinetics and multi-scale coupling simulation of dynamic metallurgical processes. In the future, the combination of artificial intelligence, high-throughput computing, and experimental verification will promote the development of this technology towards precision and intelligence, accelerating the industrial application of high-performance steel.
Go to article

Bibliography

  • Kojima, A., Kiyose, A., Uemori, R., Minagawa, M., Hoshino, M., Nakashima, T., Ishida, K. & Yasui, H. (2004). Super high HAZ toughness technology with fine microstructure imparted by fine particles. Shinnittetsu Giho. 90, 2-5.
  • Takamura, J.I., Mizoguchi, S. (1990, October). Roles of oxides in steels performance. In Proceedings of the Sixth International Iron and Steel Congress, 21-26 October 1990 (pp. 591-597). Tokyo, Japan.
  • Mizoguchi, S., & Takamura, J. I. (1990). Control of oxides as inoculants. In Proceedings of the sixth international iron and steel congress, 21-26 October 1990 (p. 598). Nagoya, Japan.
  • Sawai, T., Wakoh, M., Ueshima, Y., Mzoguchi, S. (1990). Effect of Zr on the precipitation of MnS in low carbon steels. In Proceedings of the 6th International Iron and Steel Congress, 21-26 October 1990 (pp.605). Tokyo, Japan.
  • Ogibayashi, S., Yamaguchi, K. & Hirai, M. (1990). The features of oxides in Ti-deoxidized steel metallurgy of oxides in steels-4. In Proceedings of Sixth International Iron and Steel Congress, 21-26 October 1990 (pp.617). Tokyo, Japan.
  • Zhihui (2016). Effect of Ti-containing oxides on the properties of pressure vessel steel. University of Science and Technology Beijing.
  • Oh, Y.J., Lee, S.Y., Byun, J.S., Shim, J.H. & Cho, Y.W. (2000). Non-metallic inclusions and acicular ferrite in low carbon steel. Materials transactions, JIM. 41(12), 1663-1669. https://doi.org/10.2320/matertrans1989.41.1663.
  • Zhi, L.Q., Kiyoshi, F. & Nakagawa, I. (2004). High performance 550MPa high tensile steel sheet for construction - a new design standard strength thickness sheet "HBL385" to minimize steel frame cost and reduce environmental impact. JFE Technical Report. (5), 45-50.
  • Kojima, A., Kiyose, A., Uemori, R., Minagawa, M., Hoshino, M., Nakashima, T., Ishida, K. & Yasui, H. (2004). Super high HAZ toughness technology with fine microstructure imparted by fine particles. Nippon Steel Technical Report. 90, 2-5.
  • Kanazawa, S., Nakashima, A., Okamoto, K. & Kanaya, K. (1975). Improved toughness of weld fussion zone by fine TiN particles and development of a steel for large heat input welding. Tetsu-to-hagané. 61(11), 2589-2603. https://doi.org/10.2355/tetsutohagane1955.61.11_2589.
  • Tomita, Y., Saito, N., Tsuzuki, T., Tokunaga, Y. & Okamoto, K. (1994). Improvement in HAZ toughness of steel by TiN-MnS addition. ISIJ International.  34(10), 829-835. https://doi.org/10.2355/isijinternational.34.829.
  • Yamamoto, K., Hasegawa, T. & Takamura, J. I. (1996). Effect of boron on intra-granular ferrite formation in Ti-oxide bearing steels. ISIJ international. 36(1), 80-86. https://doi.org/10.2355/isijinternational.36.80.
  • Fock, V. (1930). Näherungsmethode zur Lösung des quantenmechanischen Mehrkörperproblems. Zeitschrift für Physik. 61, 126-148. https://doi.org/10.1007/BF01340294.
  • Thomas, L.H. (1927). The calculation of atomic fields. Mathematical proceedings of the Cambridge philosophical society. 23(5), 542-548. https://doi.org/10.1017/S0305004100011683 .
  • Hohenberg, P. & Kohn, W. (1964). Inhomogeneous electron gas. Physical Review. 136(3B), B864. https://doi.org/10.1103/PhysRev.136.B864.
  • Jin, Y. & Sanxie, W. (2016). First-principles calculation of Heusler alloy. Science Press. 30-31.
  • Zhou, L-S., Ji, Y-Q. & Song, J-F. (2023). First-Principle of Adsorption Behavior of H Atom in PuGa Alloy. Journal of Nuclear and Radiochemistry. 45(2), 153-159.
  • Junwei, L., Weimin, J., Shasha, L., Jintao, W. & Zhengcao, L. (2023). First-Principles Study of Surface Adsorption and Dissociation Behavior of O2 on Uranium-Molybdenum System. Rare Metal Materials and Engineering. 52(5), 1650-1660.
  • Wang, Q., Zhang, B.W., Liu, E.K., Guo, Z.H., Lu, S.L., Zheng, Y.X., Wu, X.Y, Zhang, Q.J., Wang, B. & Zhu, L.G. (2024). First-principles study on atomic formation and manganese diffusion in MnS/Mg-Ti-oxide complex inclusions in steel. Ceramics International. 50(24), 55263-55274. https://doi.org/10.1016/j.ceramint.2024.10.381.
  • Pan, Y., Liu, Y. & Wei, Q. (2024). First-principles simulation study on the impact of monovalent Cu ion doping on the crystal structure and electrical properties of lead-free perovskite Cs2AgBiBr6. Nuclear Techniques. 47(04), 040503. DOI: 10.11889/j.0253-3219.2024.hjs.47.040503.
  • Ju, J., Kang, M., Zhou, Y., Yang, C., Wang, K., Li, J., Wang, R., Fu H. & Wang, J. (2020). First-principles investigations of the stability, electronic structures, mechanical properties and thermodynamic properties of FexAlyCz compounds in Fe-Cr-B-Al-C alloy. Journal of Physics and Chemistry of Solids. 143, 109366, 1-9. https://doi.org/10.1016/j.jpcs.2020.109366.
  • Liu, P., Han, X., Sun, D. & Wang, Q. (2019). The effect of interface atomic structure on the deformation mechanisms of Ti2AlN/TiAl composite under nanoindentation using MD simulations. Journal of Physics: Condensed Matter. 31(12), 125002, 1-12. DOI: 10.1088/1361-648X/aafd0e.
  • Zheng, Y., Wang, F., Ai, T. & Li, C. (2017). Structural, elastic and electronic properties of B2-type modified by ternary additions FeAl-based intermetallics: First-principles study. Journal of Alloys and Compounds. 710, 581-588. https://doi.org/10.1016/j.jallcom.2017.03.308.
  • Liu, Y. H., Chong, X. Y. & Jiang, Y. H. (2017). Mechanical properties and electronic structures of Fe-Al intermetallic. Physica B: Condensed Matter. 506, 1-11. https://doi.org/10.1016/j.physb.2016.10.032.
  • Huo Jinxia, D (2023). Study on adsorption polymerization of composite inclusions in oxide metallurgy. North China University of Science and Technology.
  • Xu, H. (2024). Atomic-scale insights into the electrochemical mechanisms of aluminum-sulfur batteries: A first-principles study of Al-S clusters on graphene. Chemical Physics Letters. 851, 141492, 1-7. https://doi.org/10.1016/j.cplett.2024.141492.
  • Jiang Xin, D (2022). Study on thermodynamic properties and nucleation mechanism of yttrium oxide in steel based on first principles. Jiangxi University of Science and Technology.
  • Zhang, J., Liu, H., Zhang, S., Ren, Q. & Zhang, L. (2023). Application of first-principles calculation methods in the study of inclusions in steel. China Metallurgy. 33(8), 6-16. DOI: 13228/j.boyuan.issn1006-9356.20230164.
  • Yuan, X., Xiao, Y., Wang, G. & Zhang, L. (2021). TiN inducing ferrite nucleation based on the bcc-Fe/TiN interfaces formation at atomic scale by first-principles calculation. Computational Materials Science. 197, 110570, 1-11. https://doi.org/10.1016/j.commatsci.2021.110570.
  • Li, Y., Zhou, R., Gao, T. & Chen, C. (2023). First-principles explain the anodic dissolution corrosion of stainless steel surface. Computational Materials Science. 229, 112392, 1-10. https://doi.org/10.1016/j.commatsci.2023.112392.
  • Cao Yuxin. (2021). Effect of rare earth Ce on pitting corrosion resistance and weldability of low alloy high strength steel. Wuhan University of Science and Technology.
Go to article

Authors and Affiliations

Ziyi Hao
1
Yuanchen Dou
1
Chenxiao Li
1
Tianyu Meng
1
Yan Wang
2
ORCID: ORCID
Xiao Gao
1

  1. School of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China
  2. Yanzhao Steel Laboratory of North China University of Science and Technology, Tangshan, 063210, China
Download PDF Download RIS Download Bibtex

Abstract

The article concerns the work on tightness as a functional property of casting alloys (primarily, cast iron). The authors’ methodology for tightness testing is presented. In the methods that have used thus far, tightness tests have been carried out on samples that are shaped like small disks; through these, a medium/penetrator in the form of a low-viscosity liquid is forced through. The measure of the tightness is the value of the pressure that the sample is able to transfer without penetration. The authors developed a modification of the test method using disks and proposed a new method in which the sample takes the shape of a sleeve. The modification includes the application of the penetration method to reveal the moment of the beginning of the penetration through the sample wall during the tightness test. Using the new research methodology, the tightness of grey cast iron samples was assessed as a function of the shape index of the graphite precipitates (fK), and research was carried out on the effect of the solidification rate of cast iron on its tightness. The tests covered grey cast iron and modified grey cast iron. The effect of the cooling rate on the tightness of the tested alloys was indirectly determined. At the stage that is described in the paper, the presented research was of an initial nature and was focused on refining the research methodology. The combination of the traditional method of testing the tightness of castings by using liquids with the visualisation of the penetrant method was also used to assess industrial castings.
Go to article

Bibliography

  • Smirnow, A.L. (1964). On the tightness of grey cast iron for casting details of hydraulic systems. Litiejnoje Proizwodstwo. 4, 25-27. (in Russian).
  • Girszowicz, N.M. (1966). Crystallization and properties of cast iron in castings. Moskwa-Leningrad: Maszynostrojenije. (in Russian).
  • Kaczan, A.D. (1980). Cast iron for components of high-pressure hydraulic systems. Litiejnoje Proizwodstwo. 11, 6-7. (in Russian).
  • Podrzucki, Cz. (1991). Cast iron – structure, properties, application. Kraków: Publisher ZG STOP. (in Polish).
  • Bucki, Z. (1976). Studies on the Influence of Chemical Composition and Main Technological Parameters on the Tightness of Grey Cast Iron. Doctoral thesis, AGH, Krakow.
  • Falęcki Z., Franczak K. (1982). Tightness of grey cast iron. Iron foundry – Selected issues of the Laboratory. College script No. 890, AGH, Kraków.
  • Rickert, A. & Engler, S.(1985). Giesserei Forschung. 37(1), 29.
  • Falęcki, Z., Bucki, Z. (1976). Determination of the relationship between the tightness and density of grey cast iron. II Scientific Symposium, Faculty TiMO, Kraków. AGH. (in Polish).
  • Zych, J., Myszka, M. & Kaźnica, N. (2019). Control of selected properties of „Vari-Morph” (VM) cast iron by means of the graphite form influence, described by the mean shape indicator. Archives of Foundry Engineering. 19(3), 43-48. DOI: 10.24425/afe.2019.127137.
  • Zych, J., Myszka, M. & Postuła, J. (2022). Vari-Morph' (VM) cast iron with several forms of graphite: technology, properties, application. In T. R Vijayaram (Eds.), Casting processes. DOI: 10.5772/intechopen.102045.
  • Zych J. (2023) — Cast iron "Vari Morph" - a new, functional material with high IQ (Index Quality): structure, technology, properties and application on the example of the company "Fansuld" Sp. z. o.o. Foundry Journal. 11–12, 342–343. (in Polish).
Go to article

Authors and Affiliations

J. Zych
1
ORCID: ORCID
J. Mocek
1

  1. AGH University of Technology, Poland
Download PDF Download RIS Download Bibtex

Abstract

In this study, it was aimed to examine the metallurgical structures of AA6082 alloys after the casting and homogenization process by means of changing degassing and flux ratios during melt treatment. During the casting of AA6082 alloys, billets were produced, porosity was determined by the reduced pressure test where density index (DI%), hydrogen level (ml/100 g Al) and bifilm index (BI) were examined. After the product was cast, two different homogenization process were carried out and grain sizes, microstructures and homogeneity were examined. In addition, SEM and EDS examinations were carried out and AlFeSi and Mg2Si precipitate formations were analyzed in terms of size, number and distribution. It was found that the melt cleanliness plays a significant role on the product quality. The melt quality was increased by optimization of the nitrogen gas flow rate with a refining flux application where the elimination of the splashing of the melt surface was found to be the critical parameter. Overall, it was found that the grain size had become finer, and the homogeneity rate was increased.
Go to article

Bibliography

  1. Bayat, N. & Carlberg, T. (2017). Influence of heat treatment on the surface structure of 6082 Al alloys. Metallurgical and Materials Transactions A. 48, 5085-5094. https://doi.org/10.1007/s11661-017-4207-6.
  2. Bayat, N., Carlberg, T. & Cieslar, M. (2017). In-situ study of phase transformations during homogenization of 6005 and 6082 Al alloys. Journal of Alloys and Compounds. 725, 504-509. https://doi.org/10.1016/j.jallcom.2017.07.149.
  3. Engler, O., Schröter, T. & Krause, C. (2023). Formation of intermetallic particles during solidification and homogenisation of two Al–Mg–Si alloys. Materials Science and Technology. 39, 70-84. https://doi.org/10.1080/02670836.2022.2102279.
  4. Tunca, B., İnce, B. & Deniz, D. (2025). Enhancing liquid metal quality in aluminum alloys: a study on refining techniques. Journal of Engineering Research and Reports. 27(2), 104-113. https://doi.org/10.9734/jerr/2025/v27i21398.
  5. Izcankurtaran, D., Tunca, B. & Karatay, G. (2021). Investigation of the effect of grain refinement on the mechanical properties of 6082 aluminium alloy. Open Journal of Applied Sciences. 11(6), 699-706. https://doi.org/10.4236/ojapps.2021.116051.
  6. Warmuzek, M., Gazda, A., Sieniawski, J. & Mrówka, G. (2003). Processes of the formation of the Fe (Mn)-bearing intermetallic phases in the Al-Fe-(Mn)-Si alloys. Advances in Materials Science. 3(2), 81-91.
  7. Khan, M.H., Das, A., Li, Z. & Kotadia, H.R. (2021). Effects of Fe, Mn, chemical grain refinement and cooling rate on the evolution of Fe intermetallics in a model 6082 Al-alloy. Intermetallics. 132, 107132, 1-10. https://doi.org/10.1016/j.intermet.2021.107132.
  8. Kumar, S. & O’Reilly, K. (2016). Influence of Al grain structure on Fe bearing intermetallics during DC casting of an Al-Mg-Si alloy. Materials Characterization. 120, 311-322. https://doi.org/10.1016/j.matchar.2016.09.017.
  9. Liu, C., Azizi-Alizamini, H., Parson, N., Poole, W. & Du, Q. (2017). Microstructure evolution during homogenization of Al-Mg-Si-Mn-Fe alloys: Modelling and experimental results. Transactions of Nonferrous Metals Society of China. 27(4), 747-753. https://doi.org/10.1016/S1003-6326(17)60085-2.
  10. Hsu, C., O’reilly, K., Cantor, B. & Hamerton, R. (2001). Non-equilibrium reactions in 6xxx series Al alloys. Materials Science and Engineering A. 304-306, 119-124. https://doi.org/10.1016/S0921-5093(00)01467-2.
  11. Mrówka-Nowotnik, G., Sieniawski, J. & Nowotnik, A. (2006). Tensile properties and fracture toughness of heat treated 6082 alloy. Journal of Achievements in Materials and Manufacturing Engineering. 17, 1-2, 105-108.
  12. Mrówka-Nowotnik, G. & Sieniawski, J. (2005). Influence of heat treatment on the microstructure and mechanical properties of 6005 and 6082 aluminium alloys. Journal of Materials Processing Technology. 162-163, 367-372. https://doi.org/10.1016/j.jmatprotec.2005.02.115.
  13. Sha, G., O’Reilly, K., Cantor, B., Worth, J. & Hamerton, R. (2001). Growth related metastable phase selection in a 6xxx series wrought Al alloy. Materials Science and Engineering A. 304-306, 612-616. https://doi.org/10.1016/S0921-5093(00)01545-8.
  14. Carlberg, T., Bayat, N. & Erdegren, M. (2015). Surface segregation and surface defect formation during aluminum billet casting. Transactions of the Indian Institute of Metals. 68, 1065-1069. https://doi.org/10.1007/s12666-015-0647-0.
  15. Samaras, S. & Haidemenopoulos, G. (2007). Modelling of microsegregation and homogenization of 6061 extrudable Al-alloy. Journal of Materials Processing Technology. 194(1-3), 63-73. https://doi.org/10.1016/j.jmatprotec.2007.03.126.
  16. Sarafoglou, P.I., Serafeim, A., Fanikos, I.A., Aristeidakis, J. S. & Haidemenopoulos, G.N. (2019). Modeling of microsegregation and homogenization of 6xxx Al-alloys including precipitation and strengthening during homogenization cooling. Materials. 12(9), 1421, 1-25. https://doi.org/10.3390/ma12091421.
  17. Bao, S., Eggen, S., Syvertsen, M. & Kvithyld, A. (2023). Collection, thermal treatment, and remelting end-of-life Al packaging in Norway. The Journal of The Minerals, Metals & Materials Society (TMS). 75, 5755-5763. https://doi.org/10.1007/s11837-023-06195-6.
  18. Bao, S., Kvithyld, A., Bjørlykke, G.A., Sandaunet, K. (2023). Recycling of aluminum from aluminum food tubes. In S. Broek (Eds.), Light metals (pp. 960-966). Springer. https://doi.org/10.1007/978-3-031-22532-1_128.
  19. Cui, J., Kvithyld, A., & Roven, H. (2010). Degreasing aluminium turnings and implications for solid state recycling. In Light Metals (pp. 675-678). The Minerals, Metals, and Materials Society (TMS).
  20. Dispinar, D., Kvithyld, A. & Nordmark, A. (2011). Quality assessment of recycled aluminium. In S. J. Lindsay (Eds.), Light Metals (pp. 731-735). Springer. https://doi.org/10.1007/978-3-319-48160-9_127.
  21. Kvithyld, A., Meskers, C., Gaal, S., Reuter, M. & Engh, T. A. (2008). Recycling light metals: Optimal thermal de-coating. Journal of The Minerals, Metals & Materials Society. 60, 47-51. https://doi.org/10.1007/s11837-008-0107-y.
  22. Boczkal, S., Augustyn, B., Hrabia-Wiśnios, J., Kapinos, D., Lewis, G., Bareel, P.-F., Savelli, S., da Silva, M. & Özen, T. (2023). Preparation of high-quality 6xxx aluminium eco alloys cast in billets. Engineering Proceedings. 43(1), 23, 1-10. https://doi.org/10.3390/engproc2023043023
  23. Rajagukguk, K., Suyitno, S., Saptoadi, H., Kusumaningtyas, I., Arifvianto, B. & Mahardika, M. (2024). Remelting of Aluminum Scrap into Billets Using Direct Chill Casting. Archives of Foundry Engineering. 24(1), 40-49. https://doi.org/10.24425/afe.2024.149250.
  24. Jones, S. & Rao, A.P. (2013). Melt conditioned direct chill (MC-DC) casting of Al alloys. Transactions of the Indian Institute of Metals. 66, 117-121. https://doi.org/10.1007/s12666-012-0235-5.
  25. Salloum-Abou-Jaoude, G., Eskin, D.G., Lebon, G.S.B., Barbatti, C., Jarry, P., Jarrett, M. (2019). Altering the microstructure morphology by ultrasound melt processing during 6XXX aluminium DC-casting. In C. Chesonis (Eds.), Light metals (pp. 1605-1610). Springer. https://doi.org/10.1007/978-3-030-05864-7_203.
  26. Subroto, T., Lebon, G.S., Eskin, D.G., Skalicky, I., Roberts, D., Tzanakis, I. & Pericleous, K. (2021). Numerical modelling and experimental validation of the effect of ultrasonic melt treatment in a direct-chill cast AA6008 alloy billet. Journal of Materials Research and Technology. 12, 1582-1596. https://doi.org/10.1016/j.jmrt.2021.03.061.
  27. Nadella, R., Eskin, D. G., Du, Q. & Katgerman, L. (2008). Macrosegregation in direct-chill casting of aluminium alloys. Progress in Materials Science. 53(3), 421-480. https://doi.org/10.1016/j.pmatsci.2007.10.001.
  28. Schneider, W. (2016). D.C. casting of aluminium alloys-Past, present and future. In J. F. Grandfield & D. G. Eskin (Eds.), Essential readings in light metals (pp. 534-541). Springer. https://doi.org/10.1007/978-3-319-48228-6_64.
  29. Campbell, J. (2003). (2nd ed.). Butterworth-Heinemann Ltd., Oxford, Elsevier
  30. Campbell, J. (2006). Entrainment defects. Materials Science and Technology. 22(2), 127-145. https://doi.org/10.1179/174328406X74248
  31. Dispinar, D., Campbell, J. (2014). Reduced pressure test (RPT) for bifilm assessment. In Shape Casting: 5th International Symposium 2014 (pp. 243-251). Springer. https://doi.org/10.1007/978-3-319-48130-2_30.
  32. Dispinar, D. & Campbell, J. (2004). Critical assessment of reduced pressure test. Part 1: Porosity phenomena. International Journal of Cast Metals Research. 17(5), 280-286. https://doi.org/10.1179/136404604225020696.
  33. Dispinar, D. & Campbell, J. (2004). Critical assessment of reduced pressure test. Part 2: Quantification. International Journal of Cast Metals Research. 1(5), 287-294. https://doi.org/10.1179/136404604225020704
  34. Dispinar, D., Campbell, J. (2007). A comparison of methods used to assess aluminium melt quality. In Shape Casting: 2nd International Symposium, 25 February- 1 March 2007 (pp.11–18). Orlando-FL, United States: The Minerals, Metals and Materials Society (TMS)
Go to article

Authors and Affiliations

B. Tunca
1 2
ORCID: ORCID
D. Dışpınar
3
ORCID: ORCID
L.C. Kumruoğlu
2
ORCID: ORCID

  1. R&D Department, Sistem Alüminyum San. ve Tic. A.Ş., Turkey
  2. Department of Metallurgy and Materials Engineering, Faculty of Engineering, Iskenderun Technical University, Turkey
  3. R&D Department, Foseco, Netherlands
Download PDF Download RIS Download Bibtex

Abstract

AlSi10Mg alloy is widely used in marine, nuclear, petrochemicals, and food processing application parts operated in corrosive environments. A selective laser melting technique is used to print the AlSi10Mg parts. The printed specimen quality is influenced by laser power (LP), scan speed (SS), and hatch distance (HD). Taguchi L9 orthogonal array is used for experimental planning, analysis, and optimising printed parts' corrosion resistance. LP is the most dominating factor, followed by hatch distance and scan speed on the corrosion current (corrosion resistance of sample). Taguchi method determined optimal conditions (LP: 270 W; SS: 1000 mm/s; HD: 0.10 mm) improve the corrosion resistance by 16.1%. The microstructure under optimal conditions exhibits minimal corrosion and oxidation on the sample surface compared to sub-optimal conditions examined with scanning electron micrographs. Any novice user can use the results of the optimal conditions for reduced corrosion current in the printed parts.
Go to article

Bibliography

  1. Czerwinski, F. (2020). Thermal stability of aluminum alloys. Materials. 13(15), 3441, 1-49. https://doi.org/10.3390/ma13153441.
  2. Michi, R.A., Plotkowski, A., Shyam, A., Dehoff, R.R. & Babu, S. S. (2022). Towards high-temperature applications of aluminium alloys enabled by additive manufacturing. International Materials Reviews. 67(3), 298-345. https://doi.org/10.1080/09506608.2021.1951580.
  3. Fang, Z., Cao, J., Guan, Y. (2020). Corrosion control technologies for aluminium alloy vessel. Springer Singapore.
  4. Davis, J.R. (1999). Corrosion of aluminium and aluminium alloys. Asm International.
  5. Ahmed, M.M., El-Sayed Seleman, M.M., Fydrych, D. & Çam, G. (2023). Friction stir welding of aluminium in the aerospace industry: the current progress and state-of-the-art review. Materials. 16(8), 2971, 1-33. https://doi.org/10.3390/ma16082971.
  6. Taylor, M.P., Chen, J.J., Young, B.R. (2013). Control for aluminum production and other processing industries. CRC Press.
  7. Hadad, M. & Hadi, M. (2013). An investigation on surface grinding of hardened stainless steel S34700 and aluminum alloy AA6061 using minimum quantity of lubrication (MQL) technique. The International Journal of Advanced Manufacturing Technology. 68, 2145-2158. https://doi.org/10.1007/s00170-013-4830-3.
  8. Deyab, M.A., Abd El-Rehim, S.S., Hassan, H.H. & Shaltot, A.M. (2020). Impact of rare earth compounds on corrosion of aluminium alloy (AA6061) in the marine water environment. Journal of Alloys and Compounds. 820, 153428, 1-7. https://doi.org/10.1016/j.jallcom.2019.153428.
  9. Fathi, P., Rafieazad, M., Duan, X., Mohammadi, M. & Nasiri, A. M. (2019). On microstructure and corrosion behaviour of AlSi10Mg alloy with low surface roughness fabricated by direct metal laser sintering. Corrosion Science. 157, 126-145. https://doi.org/10.1016/j.corsci.2019.05.032.
  10. Liao, J., Hotta, M. & Mori, Y. (2012). Improved corrosion resistance of a high-strength Mg–Al–Mn–Ca magnesium alloy made by rapid solidification powder metallurgy. Materials Science and Engineering: A, 544, 10-20. https://doi.org/10.1016/j.msea.2012.02.046.
  11. Swamy, P.K., Mylaraiah, S., Gowdru Chandrashekarappa, M.P., Lakshmikanthan, A., Pimenov, D.Y., Giasin, K. & Krishna, M. (2021). Corrosion behaviour of high-strength Al 7005 alloy and its composites reinforced with industrial waste-based fly ash and glass fibre: comparison of stir cast and extrusion conditions. Materials. 14(14), 3929, 1-17. https://doi.org/10.3390/ma14143929.
  12. Tofail, S.A., Koumoulos, E.P., Bandyopadhyay, A., Bose, S., O’Donoghue, L. & Charitidis, C. (2018). Additive manufacturing: scientific and technological challenges, market uptake and opportunities. Materials Today. 21(1), 22-37. https://doi.org/10.1016/j.mattod.2017.07.001.
  13. Gadlegaonkar, N., Bansod, P.J., Lakshmikanthan, A. & Bhole, K. (2025). A Review on additively manufactured AlSi10Mg alloy: mechanical, tribological, and microstructure properties. Journal of Mines, Metals and Fuels. 87-101.
  14. Wang, C., Tan, X.P., Tor, S.B. & Lim, C.S. (2020). Machine learning in additive manufacturing: State-of-the-art and perspectives. Additive Manufacturing. 36, 101538, 1-20. https://doi.org/10.1016/j.addma.2020.101538.
  15. Pelevin, I.A., Nalivaiko, A.Y., Ozherelkov, D.Y., Shinkaryov, A.S., Chernyshikhin, S.V., Arnautov, A.N., Zmanovsky, S.V. & Gromov, A.A. (2021). Selective laser melting of Al-based matrix composites with Al2O3 reinforcement: Features and advantages. Materials. 14(10), 2648, 1-17. https://doi.org/10.3390/ma14102648.
  16. Fang, Z.C., Wu, Z.L., Huang, C.G. & Wu, C.W. (2020). Review on residual stress in selective laser melting additive manufacturing of alloy parts. Optics & Laser Technology. 129, 106283, 1-15. https://doi.org/10.1016/j.optlastec.2020.106283.
  17. Ren, S., Chen, Y., Liu, T., & Qu, X. (2019). Effect of build orientation on mechanical properties and microstructure of Ti-6Al-4V manufactured by selective laser melting. Metallurgical and Materials Transactions A. 50(9), 4388-4409. https://doi.org/10.1007/s11661-019-05322-w.
  18. Li, C., Liu, J.F., Fang, X.Y. & Guo, Y.B. (2017). Efficient predictive model of part distortion and residual stress in selective laser melting. Additive Manufacturing. 17, 157-168. https://doi.org/10.1016/j.addma.2017.08.014.
  19. Zhao, L., Macías, J.G.S., Dolimont, A., Simar, A. & Rivière-Lorphèvre, E. (2020). Comparison of residual stresses obtained by the crack compliance method for parts produced by different metal additive manufacturing techniques and after friction stir processing. Additive Manufacturing. 36, 101499, 1-13. https://doi.org/10.1016/j.addma.2020.101499.
  20. Lou, X., Othon, M.A. & Rebak, R.B. (2017). Corrosion fatigue crack growth of laser additively-manufactured 316L stainless steel in high temperature water. Corrosion science. 127, 120-130. https://doi.org/10.1016/j.corsci.2017.08.023.
  21. Kong, D., Dong, C., Ni, X. & Li, X. (2019). Corrosion of metallic materials fabricated by selective laser melting. Materials Degradation. 3(1), 1-14. https://doi.org/10.1038/s41529-019-0086-1.
  22. Jeyaprakash, N., Yang, C.H., Karuppasamy, S.S. & Rajendran, D.K. (2022). Correlation of microstructural with corrosion behaviour of Ti-6Al-4V specimens developed through selective laser melting technique. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 236(5), 2240-2251. https://doi.org/10.1177/09544089221087823.
  23. Rohith, S., Mohan, N., Malik, V., Saxena, K.K. & Prasad, M.A. (2023). Modelling and optimization of selective laser melting parameters using Taguchi and super ranking concept approaches. International Journal on Interactive Design and Manufacturing. (IJIDeM). 17(5), 2415-2427. https://doi.org/10.1007/s12008-022-01011-y.
  24. Sheshadri, R., Nagaraj, M., Lakshmikanthan, A., Chandrashekarappa, M.P.G., Pimenov, D.Y., Giasin, K., Prasad, R.V.S. & Wojciechowski, S. (2021). Experimental investigation of selective laser melting parameters for higher surface quality and microhardness properties: taguchi and super ranking concept approaches. Journal of Materials Research and Technology. 14, 2586-2600. https://doi.org/10.1016/j.jmrt.2021.07.144.
  25. Romano, J., Ladani, L. & Sadowski, M. (2016). Laser additive melting and solidification of Inconel 718: Finite element simulation and experiment. The Journal of The Minerals, Metals & Materials Society (TMS). 68(3), 967-977. https://doi.org/10.1007/s11837-015-1765-1.
  26. Yang, Y., Knol, M.F., Van Keulen, F. & Ayas, C. (2018). A semi-analytical thermal modelling approach for selective laser melting. Additive Manufacturing. 21, 284-297. https://doi.org/10.1016/j.addma.2018.03.002.
  27. Ansari, M.J., Nguyen, D.S. & Park, H.S. (2019). Investigation of SLM process in terms of temperature distribution and melting pool size: Modeling and experimental approaches. Materials. 12(8), 1272, 1-18. https://doi.org/10.3390/ma12081272.
  28. Dong, Z., Liu, Y., Wen, W., Ge, J. & Liang, J. (2018). Effect of hatch spacing on melt pool and as-built quality during selective laser melting of stainless steel: Modeling and experimental approaches. Materials. 12(1), 50, 1-15. https://doi.org/10.3390/ma12010050.
  29. Wang, X., Lu, Q., Zhang, P., Yan, H., Shi, H., Sun, T., Zhou, K. & Chen, K. (2024). A review on the simulation of selective laser melting AlSi10Mg. Optics & Laser Technology. 174, 110500, 1-32. https://doi.org/10.1016/j.optlastec.2023.110500.
  30. Razavykia, A., Brusa, E., Delprete, C. & Yavari, R. (2020). An overview of additive manufacturing technologies—a review to technical synthesis in numerical study of selective laser melting. Materials. 13(17), 3895, 1-22. https://doi.org/10.3390/ma13173895.
  31. Korkmaz, M.E., Gupta, M.K., Robak, G., Moj, K., Krolczyk, G.M. & Kuntoğlu, M. (2022). Development of lattice structure with selective laser melting process: A state of the art on properties, future trends, and challenges. Journal of Manufacturing Processes. 81, 1040-1063. https://doi.org/10.1016/j.jmapro.2022.07.051.
  32. Gunasekaran, J., Sevvel, P. & Solomon, I.J. (2021). Metallic materials fabrication by selective laser melting: A review. Materials Today: Proceedings. 37, 252-256. https://doi.org/10.1016/j.matpr.2020.05.162.
  33. Jiang, H.Z., Li, Z.Y., Feng, T., Wu, P.Y., Chen, Q.S., Feng, Y.L., Li, S.W., Gao, H. & & Xu, H.J. (2019). Factor analysis of selective laser melting process parameters with normalised quantities and Taguchi method. Optics & Laser Technology. 119, 105592, 1-11. https://doi.org/10.1016/j.optlastec.2019.105592.
  34. Amir, B., Gale, Y., Sadot, A., Samuha, S. & Sadot, O. (2022). Study on the effects of manufacturing parameters on the dynamic properties of AlSi10Mg under dynamic loads using Taguchi procedure. Materials & Design. 111125, 1-11. https://doi.org/10.1016/j.matdes.2022.111125.
  35. Khorasani, A., Gibson, I., Awan, U.S. & Ghaderi, A. (2019). The effect of SLM process parameters on density, hardness, tensile strength, and surface quality of Ti-6Al-4V. Additive manufacturing. 25, 176-186. https://doi.org/10.1016/j.addma.2018.09.002.
  36. Olakanmi, E.O., Cochrane, R.F. & Dalgarno, K.W. (2015). A review on selective laser sintering/melting (SLS/SLM) of aluminium alloy powders: Processing, microstructure, and properties. Progress in materials science. 74, 401-477. https://doi.org/10.1016/j.pmatsci.2015.03.002.
  37. Trevisan, F., Calignano, F., Lorusso, M., Pakkanen, J., Aversa, A., Ambrosio, E.P., Lombardi, M., Fino, P. & Manfredi, D. (2017). On the selective laser melting (SLM) of the AlSi10Mg alloy: process, microstructure, and mechanical properties. 10(1), 76, 1-23. https://doi.org/10.3390/ma10010076.
  38. Li, Y. & Gu, D. (2014). Parametric analysis of thermal behavior during selective laser melting additive manufacturing of aluminum alloy powder. Materials & design. 63, 856-867. https://doi.org/10.1016/j.matdes.2014.07.006.
  39. Aboulkhair, N.T., Simonelli, M., Parry, L., Ashcroft, I., Tuck, C. & Hague, R. (2019). 3D printing of Aluminium alloys: Additive Manufacturing of Aluminium alloys using selective laser melting. Progress in materials science.106, 100578, 1-45. https://doi.org/10.1016/j.pmatsci.2019.100578.
  40. Gu, D., Shi, Q., Lin, K. & Xi, L. (2018). Microstructure and performance evolution and underlying thermal mechanisms of Ni-based parts fabricated by selective laser melting. Additive Manufacturing. 22, 265-278. https://doi.org/10.1016/j.addma.2018.05.019.
  41. Read, N., Wang, W., Essa, K. & Attallah, M.M. (2015). Selective laser melting of AlSi10Mg alloy: Process optimisation and mechanical properties development. Materials & Design (1980-2015). 65, 417-424. https://doi.org/10.1016/j.matdes.2014.09.044.
  42. Aboulkhair, N.T., Everitt, N.M., Ashcroft, I. & Tuck, C. (2014). Reducing porosity in AlSi10Mg parts processed by selective laser melting. Additive manufacturing. 1-4, 77-86. https://doi.org/10.1016/j.addma.2014.08.001.
  43. Sun, D., Gu, D., Lin, K., Ma, J., Chen, W., Huang, J., Sun, X. & Chu, M. (2019). Selective laser melting of titanium parts: Influence of laser process parameters on macro-and microstructures and tensile property. Powder Technology. 342, 371-379. https://doi.org/10.1016/j.powtec.2018.09.090.
  44. Majeed, A., Ahmed, A., Salam, A. & Sheikh, M.Z. (2019). Surface quality improvement by parameters analysis, optimization and heat treatment of AlSi10Mg parts manufactured by SLM additive manufacturing. International Journal of Lightweight Materials and Manufacture. 2(4), 288-295. https://doi.org/10.1016/j.ijlmm.2019.08.001.
  45. Wang, Z., Ummethala, R., Singh, N., Tang, S., Suryanarayana, C., Eckert, J. & Prashanth, K.G. (2020). Selective laser melting of aluminum and its alloys. Materials. 13(20), 4564, 1-68. https://doi.org/10.3390/ma13204564.
  46. Pal, S., Lojen, G., Hudak, R., Rajtukova, V., Brajlih, T., Kokol, V. & Drstvenšek, I. (2020). As-fabricated surface morphologies of Ti-6Al-4V samples fabricated by different laser processing parameters in selective laser melting. Additive Manufacturing. 33, 101147, 1-14. https://doi.org/10.1016/j.addma.2020.101147.
  47. Tian, Y., Tomus, D., Rometsch, P. & Wu, X. (2017). Influences of processing parameters on surface roughness of Hastelloy X produced by selective laser melting. Additive Manufacturing. 13, 103-112. https://doi.org/10.1016/j.addma.2016.10.010.
  48. Xia, M., Gu, D., Yu, G., Dai, D., Chen, H. & Shi, Q. (2016). Influence of hatch spacing on heat and mass transfer, thermodynamics, and laser processability during additive manufacturing of Inconel 718 alloy. International Journal of Machine Tools and Manufacture. 109, 147-157. https://doi.org/10.1016/j.ijmachtools.2016.07.010.
  49. Sahadevan, P., Chithirai, P.S., Lakshmikanthan, A., Bhaumik, A. & Cuautle, A.F. (2024). Effect of printing process parameters on tensile strength and wear rate of 17-4PH stainless steel deposited using SLM process. Frattura Integrita Strutt. 18(70), 157-176. https://doi.org/10.3221/IGF-ESIS.70.09 .
  50. Garcia-Cabezon, C., Castro-Sastre, M. A., Fernandez-Abia, A. I., Rodriguez-Mendez, M. L. & Martin-Pedrosa, F. (2022). Microstructure–hardness–corrosion performance of 17–4 precipitation hardening stainless steels processed by selective laser melting in comparison with commercial alloy. Metals and Materials International.28, 2652-2667. https://doi.org/10.1007/s12540-021-01155-8.
  51. Sahadevan, P., Pon Selvan, C., Manjunath Patel, G. C. & Bhaumik, A. (2023). Selective laser melting process parameter optimization on density and corrosion resistance of 17-4PH stainless steel. Archives of Foundry Engineering. 23(4), 105-116. DOI: 10.24425/afe.2023.146685.
Go to article

Authors and Affiliations

Nagareddy Gadlegaonkar
1
Premendra J. Bansod
1
Avinash L
2
ORCID: ORCID
Krishnakant Bhole
3
Manjunath Patel G C
4
ORCID: ORCID
Nagaraja C. Reddy
5
Srilatha Rao
6

  1. Department of Mechanical Engineering, G.H. Raisoni College of Engineering & Management, Wagholi, Affiliated to Savitribai Phule Pune University, Pune, Maharashtra, India
  2. Nitte (Deemed to be University), Nitte Meenakshi Institute of Technology (NMIT), Department of Mechanical Engineering, Bengaluru, 560064, India
  3. School of Design, Presidency University, Bangalore – 560064, India
  4. Department of Mechanical Engineering, Sahyadri College of Engineering & Management, Mangaluru, Visvesvaraya Technological University, Belagavi 590018, Karnataka, India
  5. Department of Mechanical Engineering, Bangalore Institute of Technology, Bengaluru – 560004, Karnataka, India
  6. Nitte (Deemed to be University), Nitte Meenakshi Institute of Technology (NMIT), Department of Chemistry, Bengaluru, 560064, India
Download PDF Download RIS Download Bibtex

Abstract

The most important factor affecting the production of quality parts with aluminum alloys is the quality of molten metal. One of the determining factors in molten metal quality is the minimization of trace impurity elements in the alloy. One of the most harmful impurities among these elements is Fe, and its amount is a determining factor in its negative effect. It is known that Fe negatively affects the quality of aluminum, causing a decrease in mechanical properties. Most of the Fe in the alloy forms intermetallic from needle-like to complex Chinese-script structures. In this study, carbon steel and stainless-steel rods were immersed in the liquid metal at casting temperatures of 700°C and 750°C in A356 aluminum casting alloy and were subjected to diffusion for 1, 2 and 5 hours. Subsequently, a 4-channel flow test mold with various section thicknesses was used. All samples were measured by measuring the liquid metal advance distances of all sections in mm. Then, microstructure analyses were performed on the obtained sections. As a result, it is observed that as Fe diffusion increases, liquid metal advancement distances decrease and Fe intermetallics form in the microstructure.
Go to article

Bibliography

  1. Stojаnović, B., Bukvic, М. & Epler, I. (2018). Application of aluminum and aluminum alloys in engineering. Applied Engineering Letters Journal of Engineering and Applied Sciences. 3(2), 52-62. https://doi.org/10.18485/aeletters.2018.3.2.2 .
  2. Kadhim, M.H., Latif, N.A., Harimon, M.A., Shamran, A.A. & Abbas, D.R. (2020). Effects of side‐groove and loading rate on the fracture properties of aluminium alloy AL‐6061. Materialwissenschaft und Werkstofftechnik. 51(6), 758-765. https://doi.org/10.1002/mawe.201900262.
  3. Pantelakis, S., Setsika, D., Chamos, A. & Zervaki, A. (2016). Corrosion damage evolution of the aircraft aluminum alloy 2024 T3. International Journal of Structural Integrity. 7(1), 25-46. https://doi.org/10.1108/IJSI-03-2014-0010.
  4. Gursoy, O., Nordmak, A., Syversten, F., Colak, M., Tur, K. & Dispinar, D. (2021). Role of metal quality and porosity formation in low pressure die casting of A356: experimental observations. Archives of Foundry Engineering. 21(1), 5-10. DOI: 10.24425/afe.2021.136071.
  5. Lu, G., Huang, P., Yan, Q., Xu, P., Pan, F., Zhan, H. & Chen, Y. (2020). Optimizing the microstructure and mechanical properties of vacuum counter-pressure casting ZL114A aluminum alloy via ultrasonic treatment. Materials. 13(19), 4232, 1-13. https://doi.org/10.3390/ma13194232.
  6. Yan, Q.S., Lu, G., Luo, G.M., Xiong, B. W. & Zheng, Q.Q. (2018). Effect of synergistic action of ultrasonic vibration and solidification pressure on tensile properties of vacuum counter-pressure casting aluminum alloy. China Foundry. 15, 411-417. https://doi.org/10.1007/s41230-018-8048-8.
  7. Zhang, B., Cockcroft, S.L., Maijer, D.M., Zhu, J.D. & Phillion, A.B. (2005). Casting defects in low-pressure die-cast aluminum alloy wheels. The Journal of The Minerals, Metals & Materials Society. 57, 36-43. https://doi.org/10.1007/s11837-005-0025-1.
  8. Chen, Y.J., Huang, L.W. & Shih, T.S. (2003). Diagnosis of oxide films by cavitation micro-jet impact. Materials Transactions. 44(2), 327-335. https://doi.org/10.2320/matertrans.44.327.
  9. Uslu, E., Dağ, M.M. & Çolak, M. (2023). Design and manufacturing of reduced pressure test machine for determination of liquid aluminum quality in casting. Turkish Journal of Electromechanics and Energy. 8(3), 85-89.
  10. Jakse, N. & Pasturel, A. (2013). Liquid aluminum: atomic diffusion and viscosity from ab initio molecular dynamics. Scientific reports. 3(1), 3135. https://doi.org/10.1038/srep03135.
  11. Li, L., Li, D., Feng, J., Zhang, Y. & Kang, Y. (2020). Effect of cooling rates on the microstructure and mechanical property of La modified Al7SiMg alloys processed by gravity die casting and semi-solid die casting. Metals. 10(4), 549, 1-13. https://doi.org/10.3390/met10040549.
  12. Linder, J., Arvidsson, A. & Kron, J. (2006). The influence of porosity on the fatigue strength of high‐pressure die cast aluminium. Fatigue & Fracture of Engineering Materials & Structures. 29(5), 357-363. https://doi.org/10.1111/j.1460-2695.2006.00997.x.
  13. Chen, C., Wang, J., Shu, D. & Sun, B. (2011). Removal of iron impurity from aluminum by electroslag refining. Materials transactions. 52(6), 1320-1323. https://doi.org/10.2320/matertrans.M2010435.
  14. Lu, L. & Dahle, A.K. (2005). Iron-rich intermetallic phases and their role in casting defect formation in hypoeutectic Al-Si alloys. Metallurgical and materials transactions A. 36, 819-835. https://doi.org/10.1007/s11661-005-0196-y.
  15. Saikrishnan, G., Jayakumari, L.S., Vijay, R. & Singaravelu, D.L. (2019). Influence of iron–aluminum alloy on the tribological performance of non-asbestos brake friction materials – a solution for copper replacement. Industrial Lubrication and Tribology. 72(1), 66-78. DOI: 10.1108/ILT-12-2018-0441.
  16. de Moraes, H.L., de Oliveira, J.R., Espinosa, D.C.R. & Tenório, J.A.S. (2006). Removal of iron from molten recycled aluminum through intermediate phase filtration. Materials transactions. 47(7), 1731-1736. https://doi.org/10.2320/matertrans.47.1731.
  17. Kasai, H., Morisada, Y. & Fujii, H. (2015). Dissimilar FSW of immiscible materials: steel/magnesium. Materials Science and Engineering: A. 624, 250-255. https://doi.org/10.1016/j.msea.2014.11.060.
  18. Zhang, L., Xiaoshu, K.A.N.G. & Zhong, B. (2020). Effects of Si content on microstructure and mechanical properties of 8079 aluminum alloy. Research and Application of Materials Science. 2(1). https://doi.org/10.33142/msra.v2i1.1978.
  19. Novák, P. & Nová, K. (2019). Oxidation behavior of Fe–Al, Fe–Si and Fe–Al–Si intermetallics. Materials. 12(11), 1748, 1-13. https://doi.org/10.3390/ma12111748.
  20. Erzi, E., Gürsoy, Ö., Yüksel, Ç., Colak, M. & Dispinar, D. (2019). Determination of acceptable quality limit for casting of A356 aluminium alloy: supplier’s quality index (SQI). Metals. 9(9), 957, 1-14. https://doi.org/10.3390/met9090957.
  21. Zhang, G., Wang, Z., Niu, J., Xu, H. & Ren, X. (2021). Enhanced fluidity of ZL205A alloy with the combined addition of Al–Ti–C and La. Materials. 14(20), 6169, 1-8. https://doi.org/10.3390/ma14206169.
  22. Durmuş, M., Dispinar, D., Gavgali, M., Uslu, E. & Çolak, M. (2024). Evaluation of Fe content on the fluidity of A356 aluminum alloy by new fluidity index. International Journal of Metalcasting. 1-15. https://doi.org/10.1007/s40962-024-01396-4.
Go to article

Authors and Affiliations

M. Durmus
1
D. Dispinar
2
ORCID: ORCID
M. Gavgali
1
M. Colak
3

  1. Necmettin Erbakan University, Turkey
  2. SINTEF Industri, Metal Production and Processing, Trondheim, 7034, Norway
  3. Bayburt University, Turkey
Download PDF Download RIS Download Bibtex

Abstract

The article studies the undercooling of steel melt around the solid particles, which is one of the main factors determining the rates of nucleation and growth of crystallization centers. Particularly, the effect of chemical composition on this factor for two grades structural cast steels 20KhGSL and 40Kh3G3S3L mainly containing Cr, Mn, Si was in the focus. The established analytical dependence allowed to determine the development of maximum concentration undercooling over the moving crystallization front depending on the liquidus temperature, the content of elements in the melt, their distribution and diffusion coefficients, the crystallization rate and the temperature gradient in the melt ahead the crystallization front. The correlation of maximum concentration undercooling and width of the columnar dendrite zone was obtained. The effect of chemical composition on steels undercooling and crystallization process was revealed. The efficiency of the elements influence changes for steels 20KhGSL and 40Kh3G3S3L from 20.1 to 25.9% for C, from 31.2 to 25.9% for Si, from 3.8 to 18.0% for Mn, from 34.0 to 10.8% for Cr, from 6.6 to 5.6% for S, from 1.0 to 0.4% for P, from 3.3 to 6.2% for N, respectively. The results obtained give deep insight in obtaining high quality steels.
Go to article

Bibliography

  • Gibbs, W. (1950). Thermodynamic works. Moscow: Nauka. (In Russian).
  • Volmer, M. (1939). Kinetik der Phasenbildung. Dresden, Leipzig: Steinkopf.
  • Sally, I. (1974). Crystallization of alloys. Kyiv: Naukova Dumka.
  • Frank, F. (1949). The influence of dislocations on crystal growth. Discusion of the Faraday Society. 5, 48-54.
  • Turnbull, D. & Fisher, J.C. (1949). Rate of Nucleation in Condensed Systems. Journal of Chemical Physics. 17(1), 71-73.
  • Volmer, M. & Marder, M. (1931). Zur Theorie der linearen Kristallisationsgeschwindigkeit unterkühlter Schmelzen und unterkühlter fester Modifikationen. Zeitschrift für Physikalische Chemie A, 154A(1), 97–112. https://doi.org/10.1515/zpch-1931-15405. (in German)
  • Flemings, M. (1974) Solidification processing. Metallurgical Transactions. 5(10), 2121–2134. https://doi.org/10.1007/BF02643923.
  • Hilling, W. & Turnbull, D. (1956). Theory of crystal growth in undercooled pure liquids. Journal of Chemical Physics. 24(4), https://doi.org/10.1063/1.1742646.
  • Turnbull, D. (1949) Thermodynamics in Metallurgy, ASM, Metals Park, Ohio.
  • Efimov, V., Eldarkhanov, A. (2004). Technologies of modern metallurgy. Moskva: Novye tehnologii. (in Russian)
  • Chalmers, B. (1968). Principles of Solidification. New-York-London-Sydney: John Wiley & Sons, Inc.
  • Tiller, W. A., Jackson, K. A., Rutter, J. W. & Chalmers, B. (1953). The redistribution of solute atoms during the solidification of metals. Acta Metallurgica. 1, 428–437.
  • Biloni, H., & Boettinger, W. J. (1996). Solidification. In R. W. Cahn & P. Haasen (Eds.), Physical Metallurgy (4th ed., pp. 669–842). Elsevier Science B.V.
  • Timofeev, G. (1977). Mechanics of alloys during crystallization of ingots and castings. Moskva: Metallurgy
  • Winegard, W. (1964). An introduction to the solidification of metals. London: The institute of metals.
  • Kurz, , Bezençon, C., & Gäumann, M. (2001). Columnar to equiaxed transition in solidification processing. Science and Technology of Advanced Materials. 2(1), 185-191. https://doi.org/10.1016/S1468-6996(01)00047-X.
  • Ono, A. (1980). Solidification of metals. Moscow: Metallurgy.
  • Hein, K., Buriga. E. (1987). Crystallization from melts. Moscow: Metallurgy.
  • Aftandilyants, E., Babaskin, Yu. (1995). Modeling of the process of dendritic structure formation in structural steel castings. Casting processes (Procesy litya). 4, 94-106. (in Russian).
  • Lepinskikh, B., Kaybichev, A., Savelyev, Y. (1974). Diffusion of elements in liquid metals of the iron group. Moscow: Nauka.
  • Ershov, G., Mayboroda, V. (1990). Diffusion in metal melts. Kyiv: Naukova Dumka.
  • Aftandilyants, E. (2019). Phase transformations of austenitic stainless modified steels. The Scientific Technical journal Metal Science and Treatment of Metals. 25, 2. 11-17. https://doi.org/10.15407/mom2019.02.011
  • Aftandiliants, Y., Gnyloskurenko, S., Meniailo, H. & Khrychikov, V. (2024). Influence of melt properties on the dendritic structure of steel castings. Archives of Foundry Engineering. 24(1), 5-14. DOI: 10.24425/afe.2024.149245.
  • Golod, V. M. & Orlova, I. G. (2012). Analysis of structural microheterogeneity of low-carbon steels based on computer modeling of their solidification conditions. Scientific and Technical Statements of SPbSPU. Series “Science and Education”. 2012(1), 177–182. (in Russian).
  • Denisov, V.A. & Denisov, A.V. (1983). Method of calculation of solidification temperatures of steel. Foundry production (Liteynoye proizvodstvo). 5, (in Russian)
  • Van Vlack, H. (1975). Materials Science for engineers. California-London-Ontario: Addision –Wesley Publishing company.
  • Morita, Z. & Tanaka, T. (1983). Thermodynamics of Solute Distributions between Solid and Liquid Phases in Iron-base Ternary Alloys. Transactions of the Iron and Steel Institute of Japan. 23(10), 824-833. https://doi.org/10.2355/isijinternational1966.23.824
  • Shmigra, L. (1985). Crystallization and solidification of steel ingots. Moscow: Metallurgiya. (in Russian).
  • Morita, Z. & Tanaka, T. (2003). Thermodynamics of Equilibrium Distribution of Solute Elements in Solidification Process of Steel. High Temperature Materials and Processes. 22(5-6), 329-336.
  • Parusov, E.V., Sychkov, O.B., Gubenko, S.I., Sagura, L.V. (2016). Influence of chemical composition and dendritic structure of continuously cast billets on the appearance of liquation phenomena in bundle rolled products. Reporter of the Priazovskyi state technical university. Series: Technical sciences. 32, 61-71. (in Ukrainian) http://nbuv.gov.ua/UJRN/vpdty_2016_32_11
  • Kazachkov, E.A., Fedosov, A.V. (2006). Peculiarities of axial liquation formation in continuous cast slab. Bulletin of the Azov State Technical University. Series: Technical sciences. 16, 1-5.
  • Gubenko, S.I. (2015). Non-metallic inclusions and strength of steels. Palmarium Academic Publishing. Deutschland (In Russian).
  • microscope MIM-10. (2024). Technical characteristics. Retrieved January 17, 2025, from https://asma.net.ua/uk/p/1464605834-mikroskop-mim-10-metallograficheskiy/

 

Go to article

Authors and Affiliations

Y. Aftandiliants
1 2
ORCID: ORCID
S. Gnyloskurenko
1 2
ORCID: ORCID
H. Meniailo
2
ORCID: ORCID
V. Khrychikov
2
ORCID: ORCID

  1. Physical and Technological Institute of Metals and Alloys, National Academy of Sciences of Ukraine, Ukraine
  2. National University of Life and Environmental Sciences of Ukraine, Ukraine
Download PDF Download RIS Download Bibtex

Abstract

The influence of the technique used to make the casting mold on the geometry and sound of the bell has been analyzed. The starting point was a CAD model of a bell with a geometry designed to obtain the required overtone frequencies that determine the pitch tone of the bell. The frequency of the basic overtones was determined on the basis of the results of the numerical modal analysis. The geometry of the bell was shaped in order to obtain the frequency of natural vibrations, creating a classical bell harmonic system. The developed geometric model was used to make a casting pattern using 3D printing in the FDM technique and a stickle cut on a CNC plotter from steel sheet. The casting molds were made of the same furan molding sand in both cases and were prepared to be poured in the same way, the only difference being the method of making the mould. Both molds were poured during one melting, which almost completely excludes differences in the chemical composition and quality of the liquid alloy. The castings in the raw state were subjected to three-dimensional scanning, which in the next step enabled a precise comparative analysis of their geometry. A spectral analysis of the sound of the tested bells was also performed using the Fourier transform method to determine the frequency of the fundamental overtones. Comparing the results of the geometry analysis with the results of the sound analysis of real bells made it possible to draw conclusions regarding the adoption of assumptions in the design of bells appropriate to the technique of making the mold used in order to obtain the planned tone of the bell sound
Go to article

Bibliography

  • Chodkowski, A. (1995). Encyclopedia of music. Warszawa: Polskie Wydawnictwo Muzyczne. (in Polish).
  • McLachlan, N. (1997). Finite element analysis and gong acoustics. Acoustics Australia. 25(3), 103-107.
  • McLachlan, N. & Nigjeh, B.K. (2003). The design of bells with harmonic overtones. The Journal of the Acoustical Society of America. 114(1), 505-511. https://doi.org/10.1121/1.1575748.
  • Perrin, R. & Chanley, T. (1983). The normal modes of the modern english church bell. Journal of Sound and Vibration. 90(1), 29-49. https://doi.org/10.1016/0022-460X(83)90401-7.
  • Schoofs, A., Van Aspern, F., Maas, P. & Lehr, A. (1987). A carillon of major-third bells. I. computation of bell profiles using structural optimization. Music Perception. 4(3), 245-254. https://doi.org/10.2307/40285368.
  • Łodygowski, T., Kąkol, W. (2003). Finite element method in selected problems of engineering structure mechanics. Poznań: Politechnika Poznańska, Alma Mater.
  • Nigjeh, B.K., Trivailo, P., McLachlan, N. (2002). Application of modal analysis to musical bell design. In Acoustics 2002-Innovation in Acoustics and Vibration Annual Conference of the Australian Acoustical Society, 13-15 November 2002 (pp. 127-136). Adelaide, Australia: Australian Acoustical Society.
  • Bartocha, D. (2017). The role of tin bronze wall thickness sensitivity in predicting the natural frequency of bells. Katowice – Gliwice: Archives of Foundry Engineering. Monografia.. (in Polish).
  • Kosmol, J. (2010). Reverse Engineering Lab. Gliwice: Wydawnictwo Politechniki Śląskiej. (in Polish).
  • Karbowski, K. (2008). Basics of reconstruction of machine elements and other objects in manufacturing processes. Kraków: Politechnika Krakowska, Monografia 367. (in Polish).
  • Varady, T., Martin, R.R. & Cox, J. (1997). Reverse engineering of geometric models – an introduction. Computer-Aided Design. 29(4), 255-268. https://doi.org/10.1016/S0010-4485(96)00054-1.
  • Grupa Zeiss Polska. (2018). Retrieved June 23, 2018, from https://www.zeiss.pl/metrologia/produkty/systemy/portalowe-maszyny-pomiarowe.html.
  • Electronic technical documentation for the Zeiss Accura 7 machine.
  • Smart Solutions. (2018). Retrieved July 3, 2018, from https://smart-solutions.pl/pl/ramiona-pomiarowe-mcax-i-skanery-laserowe-mmdx-firmy-nikon/
  • Electronic technical documentation for the MCAx20 measuring arm.
  • Electronic technical documentation for the Model Maker MMDx100 Laser Scanner.
  • Więcławski, P. (2002). Analysis of the sound of the Tuba Dei bell. Toruń: Uniwersytet M. Kopernika.
  • Terhardt, E. & Seewann, M. (1984). Auditive und objektive bestimmung der schlagtonhöhe von historischen kirchenglocken. Acustica. 54(3), 129-144.
  • The sound of bells. (2024). Retrieved November 21, 2024, from http://www.hibberts.co.uk
Go to article

Authors and Affiliations

D. Bartocha
1
ORCID: ORCID
A. Dulska
1
ORCID: ORCID
I. Licha
2
P. Lichy
2
ORCID: ORCID
M. Kaźmierczak
3

  1. Department of Foundry Engineering, Silesian University of Technology, 7 Towarowa Str. 44-100 Gliwice, Poland
  2. Department of Materials Engineering and Recycling, VSB - Technical University of Ostrava, 17. listopadu 2172/15 708 00 Ostrava-Poruba Czech Republic
  3. Department of Machine Technology, Silesian University of Technology, 18 Konarskiego Str. 44-100 Gliwice, Poland
Download PDF Download RIS Download Bibtex

Abstract

The aim of the article was to explore the principles of surface layer solidification based on computer simulations. The process was observed through computer simulations using the MAGMASOFT program. The studied model sets were separately parameterized in the system according to the conditions present during the casting process. Boundary conditions for FEM and technological data, such as pouring temperature and material, were defined. Based on the conducted studies, it was found that the solidification process of the layered casting, consisting of a base part made of cast iron and a working part made of pure titanium, is the most stable in the case of using an insert with the thinnest connector wall thickness (2.25 mm - these are the inner diameter of the profile) due to temperature equalization. However, this did not favor mechanical conditions compared to, for example, an insert with a medium connector wall thickness (1.5 mm - these are the inner diameter of the profile). The thickness of the connector wall influences the temperature distribution on the insert's surface and in its immediate area near the connection with the casting.
Go to article

Bibliography

  • Wróbel, T. (2016). Layered castings made by preparing the mold cavity with a monolithic insert. Gliwice: Wydawnictwo Archives of Foundry Engineering, Monografia. (in Polish).
  • Przyszlak, N., Wróbel, T. & Dulska A. (2021). Influence of molding materials on the self-hardening of X46Cr13 steel / grey cast iron bimetallic castings. Archives of Metallurgy and Materials. 66(1), 43-50. DOI:10.24425/amm.2021.134757.
  • Przyszlak, N., Wróbel, T., Dulska, A., Nuckowski, P., Łukowiec, D. & Stawarz, M. (2024). Microstructure of the working layer of X46Cr13 steel in a bimetal system with gray cast iron. 17(23), 5933, 1-13. https://doi.org/10.3390/ma17235933.
  • Przyszlak, N. & Piwowarski, G. (2023). Designing of X46Cr13 steel heat treatment in condition of casting mould. Archives of Foundry Engineering. 23(2), 119-126. DOI: 10.24425/afe.2023.144304.
  • Gawroński, J., Szajnar, J., Cholewa, M. & Wróbel, P. (2005). Solidification and crystallization of the particles containing composites and surface composites. Przegląd Odlewnictwa. 55(4), 216-230. (in Polish).
  • Gawroński, J., Szajnar, J. & Wróbel, P. (2006). Technology of surface composite layers on castings. Archiwum Odlewnictwa. 6(19).
  • Fathy, N., Ramadan, M., Hafez, K.M., Abdulaziz, B.A, Ayadi, B. & Alghamdi, S.A. (2023). A novel approach of optimum time interval estimation for Al-7.5Si/Al-18Si liquid–liquid bimetal casting in sand and metallic moulds. Materials. 16(8), 3004, 1-11. DOI: 10.3390/ma16083004.
  • Nazari, J., Yousefi, M., Amiri Kerahroodi, M.S Bahrololoumi Mofrad, N.S. & Alavi Abhari, S.H. (2015). Production of copper-aluminum bimetal by using centrifugal casting and evaluation of metal interface. International Journal of Materials Lifetime. 1(1), 20-28. DOI:10.12691/ijml-1-1-4.
  • Łągiewka, M. (2019). Determination of thermophysical properties for selected molding sands. Acta Physica Polonica A. 136(6), 992-995. DOI: 10.12693/APhysPolA.136.992.
  • Wróbel, T. & Szajnar, J. (2015). Bimetallic casting: ferritic stainless steel-grey cast iron. Archives of Metallurgy and Materials. 60(3), 2361-2365. https://doi.org/10.1515/amm-2015-0385.
  • Król, M. & Tański, T. (2016). Surface quality research for selective laser melting of Ti-6Al-4 V alloy. Archives of Metallurgy and Materials. 61(3), 1291-1296. https://doi.org/10.1515/amm-2016-0213.
  • Yesuvadian, R.A. & Keerthiprasad, K.S. (2023). A review on casting and testing of bimetals. International Journal of Applied Engineering Research. 18(4), 278-291. https://dx.doi.org/10.37622/IJAER/18.4.2023.278-291.
  • Xiong B., Cai, C., Wan, H. & Lu, B. (2011). Fabrication of high chromium cast iron and medium carbon bimetal by liquid- solid casting in electromagnetic induction field. Materials and Design. 32(5), 2978-2982. https://doi.org/10.1016/j.matdes.2011.01.006.
  • Ibrahim, M.M., El-Hadad, S. & Mourad, M. (2020). Effect of liquid-solid volume ratios on the interfacial microstructure and mechanical properties of high chromium cast iron and low carbon steel bimetal. Material Researches Express. 6(12), 1265c2, 1-12. DOI 10.1088/2053-1591/ab6372.
  • Wei, N., Wang, K., Zhou, X., Wang, Q., Liu, Q. & He, J. (2012). Influence of cooling rate on the microstructure in HCCI/steel bimetal composite hammer. Advanced Materials Research. 538-541, 1041-1044. https://doi.org/10.4028/www.scientific.net/AMR.538-541.1041.

 

Go to article

Authors and Affiliations

A. Dulska
1
ORCID: ORCID
N. Przyszlak
1

  1. Silesian University of Technology, Faculty of Mechanical Engineering, Department of Foundry Engineering, Poland

Instructions for authors

Submission


To submit the article, please use the Editorial System provided here:

https://www.editorialsystem.com/afe


Papers submitted in any other way will not be accepted.



The Journal does not have submission charges.


The APC Article Processing Charge is 110 euros (500zł for Polish authors). In some cases, the APC is paid as a part of the scientific conference fee, for which the AFE journal is a supportive one. If not, it is payable after the acceptance of the final article by direct money transfer.


Bank account details:


Account holder: Stowarzyszenie Wychowankow Politechniki Slaskiej Kolo Odlewnikow
Account holder address: ul. Towarowa 7, 44-100 Gliwice, Poland
Account numbers: BIC BPKOPLPW IBAN PL17 1020 2401 0000 0202 0183 3748


Instructions for the preparation of an Archives of Foundry Engineering Paper

Publication Ethics Policy


Publication Ethics Policy

The standards of expected ethical behavior for all parties involved in publishing in the Archives of Foundry Engineering journal: the author, the journal editor and editorial board, the peer reviewers and the publisher are listed below.

All the articles submitted for publication in Archives of Foundry Engineering are peer reviewed for authenticity, ethical issues and usefulness as per Review Procedure document.

Duties of Editors
1. Monitoring the ethical standards: Editorial Board monitors the ethical standards of the submitted manuscripts and takes all possible measures against any publication malpractices.
2. Fair play: Submitted manuscripts are evaluated for their scientific content without regard to race, gender, sexual orientation, religious beliefs, citizenship, political ideology or any other issues that is a personal or human right.
3. Publication decisions: The Editor in Chief is responsible for deciding which of the submitted articles should or should not be published. The decision to accept or reject the article is based on its importance, originality, clarity, and its relevance to the scope of the journal and is made after the review process.
4. Confidentiality: The Editor in Chief and the members of the Editorial Board t ensure that all materials submitted to the journal remain confidential during the review process. They must not disclose any information about a submitted manuscript to anyone other than the parties involved in the publishing process i.e., authors, reviewers, potential reviewers, other editorial advisers, and the publisher.
5. Disclosure and conflict of interest: Unpublished materials disclosed in the submitted manuscript must not be used by the Editor and the Editorial Board in their own research without written consent of authors. Editors always precludes business needs from compromising intellectual and ethical standards.
6. Maintain the integrity of the academic record: The editors will guard the integrity of the published academic record by issuing corrections and retractions when needed and pursuing suspected or alleged research and publication misconduct. Plagiarism and fraudulent data is not acceptable. Editorial Board always be willing to publish corrections, clarifications, retractions and apologies when needed.

Retractions of the articles: the Editor in Chief will consider retracting a publication if:
- there are clear evidences that the findings are unreliable, either as a result of misconduct (e.g. data fabrication) or honest error (e.g. miscalculation or experimental error)
- the findings have previously been published elsewhere without proper cross-referencing, permission or justification (cases of redundant publication)
- it constitutes plagiarism or reports unethical research.
Notice of the retraction will be linked to the retracted article (by including the title and authors in the retraction heading), clearly identifies the retracted article and state who is retracting the article. Retraction notices should always mention the reason(s) for retraction to distinguish honest error from misconduct.
Retracted articles will not be removed from printed copies of the journal nor from electronic archives but their retracted status will be indicated as clearly as possible.

Duties of Authors
1. Reporting standards: Authors of original research should present an accurate account of the work performed as well as an objective discussion of its significance. Underlying data should be represented accurately in the paper. The paper should contain sufficient details and references to permit others to replicate the work. The fabrication of results and making of fraudulent or inaccurate statements constitute unethical behavior and will cause rejection or retraction of a manuscript or a published article.
2. Originality and plagiarism: Authors should ensure that they have written entirely original works, and if the authors have used the work and/or words of others they need to be cited or quoted. Plagiarism and fraudulent data is not acceptable.
3. Data access retention: Authors may be asked to provide the raw data for editorial review, should be prepared to provide public access to such data, and should be prepared to retain such data for a reasonable time after publication of their paper.
4. Multiple or concurrent publication: Authors should not in general publish a manuscript describing essentially the same research in more than one journal. Submitting the same manuscript to more than one journal concurrently constitutes unethical publishing behavior and is unacceptable.
5. Authorship of the manuscript: Authorship should be limited to those who have made a significant contribution to the conception, design, execution, or interpretation of the report study. All those who have made contributions should be listed as co-authors. The corresponding author should ensure that all appropriate co-authors and no inappropriate co-authors are included in the paper, and that all co-authors have seen and approved the final version of the paper and have agreed to its submission for publication.
6. Acknowledgement of sources: The proper acknowledgment of the work of others must always be given. The authors should cite publications that have been influential in determining the scope of the reported work.
7. Fundamental errors in published works: When the author discovers a significant error or inaccuracy in his/her own published work, it is the author’s obligation to promptly notify the journal editor or publisher and cooperate with the editor to retract or correct the paper.

Duties of Reviewers
1. Contribution to editorial decisions: Peer reviews assist the editor in making editorial decisions and may also help authors to improve their manuscript.
2. Promptness: Any selected reviewer who feels unqualified to review the research reported in a manuscript or knows that its timely review will be impossible should notify the editor and excuse himself/herself from the review process.
3. Confidentiality: All manuscript received for review must be treated as confidential documents. They must not be shown to or discussed with others except those authorized by the editor.
4. Standards of objectivity: Reviews should be conducted objectively. Personal criticism of the author is inappropriate. Reviewers should express their views clearly with appropriate supporting arguments.
5. Acknowledgement of sources: Reviewers should identify the relevant published work that has not been cited by authors. Any substantial similarity or overlap between the manuscript under consideration and any other published paper should be reported to the editor.
6. Disclosure and conflict of Interest: Privileged information or ideas obtained through peer review must be kept confidential and not used for personal advantage. Reviewers should not consider evaluating manuscripts in which they have conflicts of interest resulting from competitive, collaborative, or other relations with any of the authors, companies, or institutions involved in writing a paper.

Peer-review Procedure


Review Procedure


The Review Procedure for articles submitted to the Archives of Foundry Engineering agrees with the recommendations of the Ministry of Science and Higher Education published in a booklet: ‘Dobre praktyki w procedurach recenzyjnych w nauce’ (MNiSW, Dobre praktyki w procedurach recenzyjnych w nauce, Warszawa 2011).

Papers submitted to the Editorial System are primarily screened by editors with respect to scope, formal issues and used template. Texts with obvious errors (formatting other than requested, missing references, evidently low scientific quality) will be rejected at this stage or will be sent for the adjustments.

Once verified each article is checked by the anti-plagiarism system Cross Check powered by iThenticate®. After the positive response, the article is moved into: Initially verified manuscripts. When the similarity level is too high, the article will be rejected. There is no strict rule (i.e., percentage of the similarity), and it is always subject to the Editor’s decision.
Initially verified manuscripts are then sent to at least four independent referees outside the author’s institution and at least two of them outside of Poland, who:

have no conflict of interests with the author,
are not in professional relationships with the author,
are competent in a given discipline and have at least a doctorate degree and respective
scientific achievements,
have a good reputation as reviewers.


The review form is available online at the Journal’s Editorial System and contains the following sections:

1. Article number and title in the Editorial System

2. The statement of the Reviewer (to choose the right options):

I declare that I have not guessed the identity of the Author. I declare that I have guessed the identity of the Author, but there is no conflict of interest

3. Detailed evaluation of the manuscript against other researches published to this point:

Do you think that the paper title corresponds with its contents?
Yes No
Do you think that the abstract expresses the paper contents well?
Yes No
Are the results or methods presented in the paper novel?
Yes No
Do the author(s) state clearly what they have achieved?
Yes No
Do you find the terminology employed proper?
Yes No
Do you find the bibliography representative and up-to-date?
Yes No
Do you find all necessary illustrations and tables?
Yes No
Do you think that the paper will be of interest to the journal readers?
Yes No

4. Reviewer conclusion

Accept without changes
Accept after changes suggested by reviewer.
Rate manuscript once again after major changes and another review
Reject


5. Information for Editors (not visible for authors).

6. Information for Authors


Reviewing is carried out in the double blind process (authors and reviewers do not know each other’s names).

The appointed reviewers obtain summary of the text and it is his/her decision upon accepting/rejecting the paper for review within a given time period 21 days.

The reviewers are obliged to keep opinions about the paper confidential and to not use knowledge about it before publication.

The reviewers send their review to the Archives of Foundry Engineering by Editorial System. The review is archived in the system.

Editors do not accept reviews, which do not conform to merit and formal rules of scientific reviewing like short positive or negative remarks not supported by a close scrutiny or definitely critical reviews with positive final conclusion. The reviewer’s remarks are sent to the author. He/she has to consider all remarks and revise the text accordingly.

The author of the text has the right to comment on the conclusions in case he/she does not agree with them. He/she can request the article withdrawal at any step of the article processing.

The Editor-in-Chief (supported by members of the Editorial Board) decides on publication based on remarks and conclusions presented by the reviewers, author’s comments and the final version of the manuscript.

The final Editor’s decision can be as follows:
Accept without changes
Reject


The rules for acceptance or rejection of the paper and the review form are available on the Web page of the AFE publisher.

Once a year Editorial Office publishes present list of cooperating reviewers.
Reviewing is free of charge.
All articles, including those rejected and withdrawn, are archived in the Editorial System.

Reviewers

List of Reviewers 2022

Shailee Acharya - S. V. I. T Vasad, India
Vivek Ayar - Birla Vishvakarma Mahavidyalaya Vallabh Vidyanagar, India
Mohammad Azadi - Semnan University, Iran
Azwinur Azwinur - Politeknik Negeri Lhokseumawe, Indonesia
Czesław Baron - Silesian University of Technology, Gliwice, Poland
Dariusz Bartocha - Silesian University of Technology, Gliwice, Poland
Iwona Bednarczyk - Silesian University of Technology, Gliwice, Poland
Artur Bobrowski - AGH University of Science and Technology, Kraków
Poland Łukasz Bohdal - Koszalin University of Technology, Koszalin Poland
Danka Bolibruchova - University of Zilina, Slovak Republic
Joanna Borowiecka-Jamrozek- The Kielce University of Technology, Poland
Debashish Bose - Metso Outotec India Private Limited, Vadodara, India
Andriy Burbelko - AGH University of Science and Technology, Kraków
Poland Ganesh Chate - KLS Gogte Institute of Technology, India
Murat Çolak - Bayburt University, Turkey
Adam Cwudziński - Politechnika Częstochowska, Częstochowa, Poland
Derya Dispinar- Istanbul Technical University, Turkey
Rafał Dojka - ODLEWNIA RAFAMET Sp. z o. o., Kuźnia Raciborska, Poland
Anna Dolata - Silesian University of Technology, Gliwice, Poland
Tomasz Dyl - Gdynia Maritime University, Gdynia, Poland
Maciej Dyzia - Silesian University of Technology, Gliwice, Poland
Eray Erzi - Istanbul University, Turkey
Flora Faleschini - University of Padova, Italy
Imre Felde - Obuda University, Hungary
Róbert Findorák - Technical University of Košice, Slovak Republic
Aldona Garbacz-Klempka - AGH University of Science and Technology, Kraków, Poland
Katarzyna Gawdzińska - Maritime University of Szczecin, Poland
Marek Góral - Rzeszow University of Technology, Poland
Barbara Grzegorczyk - Silesian University of Technology, Gliwice, Poland
Grzegorz Gumienny - Technical University of Lodz, Poland
Ozen Gursoy - University of Padova, Italy
Gábor Gyarmati - University of Miskolc, Hungary
Jakub Hajkowski - Poznan University of Technology, Poland
Marek Hawryluk - Wroclaw University of Science and Technology, Poland
Aleš Herman - Czech Technical University in Prague, Czech Republic
Mariusz Holtzer - AGH University of Science and Technology, Kraków, Poland
Małgorzata Hosadyna-Kondracka - Łukasiewicz Research Network - Krakow Institute of Technology, Poland
Dario Iljkić - University of Rijeka, Croatia
Magdalena Jabłońska - Silesian University of Technology, Gliwice, Poland
Nalepa Jakub - Silesian University of Technology, Gliwice, Poland
Jarosław Jakubski - AGH University of Science and Technology, Kraków, Poland
Aneta Jakubus - Akademia im. Jakuba z Paradyża w Gorzowie Wielkopolskim, Poland
Łukasz Jamrozowicz - AGH University of Science and Technology, Kraków, Poland
Krzysztof Janerka - Silesian University of Technology, Gliwice, Poland
Karolina Kaczmarska - AGH University of Science and Technology, Kraków, Poland
Jadwiga Kamińska - Łukasiewicz Research Network – Krakow Institute of Technology, Poland
Justyna Kasinska - Kielce University Technology, Poland
Magdalena Kawalec - AGH University of Science and Technology, Kraków, Poland
Gholamreza Khalaj - Islamic Azad University, Saveh Branch, Iran
Angelika Kmita - AGH University of Science and Technology, Kraków, Poland
Marcin Kondracki - Silesian University of Technology, Gliwice Poland
Vitaliy Korendiy - Lviv Polytechnic National University, Lviv, Ukraine
Aleksandra Kozłowska - Silesian University of Technology, Gliwice, Poland
Ivana Kroupová - VSB - Technical University of Ostrava, Czech Republic
Malgorzata Lagiewka - Politechnika Czestochowska, Częstochowa, Poland
Janusz Lelito - AGH University of Science and Technology, Kraków, Poland
Jingkun Li - University of Science and Technology Beijing, China
Petr Lichy - Technical University Ostrava, Czech Republic
Y.C. Lin - Central South University, China
Mariusz Łucarz - AGH University of Science and Technology, Kraków, Poland
Ewa Majchrzak - Silesian University of Technology, Gliwice, Poland
Barnali Maji - NIT-Durgapur: National Institute of Technology, Durgapur, India
Pawel Malinowski - AGH University of Science and Technology, Kraków, Poland
Marek Matejka - University of Zilina, Slovak Republic
Bohdan Mochnacki - Technical University of Occupational Safety Management, Katowice, Poland
Grzegorz Moskal - Silesian University of Technology, Poland
Kostiantyn Mykhalenkov - National Academy of Science of Ukraine, Ukraine
Dawid Myszka - Silesian University of Technology, Gliwice, Poland
Maciej Nadolski - Czestochowa University of Technology, Poland
Krzysztof Naplocha - Wrocław University of Science and Technology, Poland
Daniel Nowak - Wrocław University of Science and Technology, Poland
Tomáš Obzina - VSB - Technical University of Ostrava, Czech Republic
Peiman Omranian Mohammadi - Shahid Bahonar University of Kerman, Iran
Zenon Opiekun - Politechnika Rzeszowska, Rzeszów, Poland
Onur Özbek - Duzce University, Turkey
Richard Pastirčák - University of Žilina, Slovak Republic
Miroslawa Pawlyta - Silesian University of Technology, Gliwice, Poland
Jacek Pezda - ATH Bielsko-Biała, Poland
Bogdan Piekarski - Zachodniopomorski Uniwersytet Technologiczny, Szczecin, Poland
Jacek Pieprzyca - Silesian University of Technology, Gliwice, Poland
Bogusław Pisarek - Politechnika Łódzka, Poland
Marcela Pokusová - Slovak Technical University in Bratislava, Slovak Republic
Hartmut Polzin - TU Bergakademie Freiberg, Germany
Cezary Rapiejko - Lodz University of Technology, Poland
Arron Rimmer - ADI Treatments, Doranda Way, West Bromwich, West Midlands, United Kingdom
Jaromír Roučka - Brno University of Technology, Czech Republic
Charnnarong Saikaew - Khon Kaen University Thailand Amit Sata - MEFGI, Faculty of Engineering, India
Mariola Saternus - Silesian University of Technology, Gliwice, Poland
Vasudev Shinde - DKTE' s Textile and Engineering India Robert Sika - Politechnika Poznańska, Poznań, Poland
Bozo Smoljan - University North Croatia, Croatia
Leszek Sowa - Politechnika Częstochowska, Częstochowa, Poland
Sławomir Spadło - Kielce University of Technology, Poland
Mateusz Stachowicz - Wroclaw University of Technology, Poland
Marcin Stawarz - Silesian University of Technology, Gliwice, Poland
Grzegorz Stradomski - Czestochowa University of Technology, Poland
Roland Suba - Schaeffler Skalica, spol. s r.o., Slovak Republic
Maciej Sułowski - AGH University of Science and Technology, Kraków, Poland
Jan Szajnar - Silesian University of Technology, Gliwice, Poland
Michal Szucki - TU Bergakademie Freiberg, Germany
Tomasz Szymczak - Lodz University of Technology, Poland
Damian Słota - Silesian University of Technology, Gliwice, Poland
Grzegorz Tęcza - AGH University of Science and Technology, Kraków, Poland
Marek Tkocz - Silesian University of Technology, Gliwice, Poland
Andrzej Trytek - Rzeszow University of Technology, Poland
Mirosław Tupaj - Rzeszow University of Technology, Poland
Robert B Tuttle - Western Michigan University United States Seyed Ebrahim Vahdat - Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran
Iveta Vaskova - Technical University of Kosice, Slovak Republic
Dorota Wilk-Kołodziejczyk - AGH University of Science and Technology, Kraków, Poland
Ryszard Władysiak - Lodz University of Technology, Poland
Çağlar Yüksel - Atatürk University, Turkey
Renata Zapała - AGH University of Science and Technology, Kraków, Poland
Jerzy Zych - AGH University of Science and Technology, Kraków, Poland
Andrzej Zyska - Czestochowa University of Technology, Poland



List of Reviewers 2021

Czesław Baron - Silesian University of Technology, Gliwice, Poland
Imam Basori - State University of Jakarta, Indonesia
Leszek Blacha - Silesian University of Technology, Gliwice
Poland Artur Bobrowski - AGH University of Science and Technology, Kraków, Poland
Danka Bolibruchova - University of Zilina, Slovak Republic
Pedro Brito - Pontifical Catholic University of Minas Gerais, Brazil
Marek Bruna - University of Zilina, Slovak Republic
Marcin Brzeziński - AGH University of Science and Technology, Kraków, Poland
Andriy Burbelko - AGH University of Science and Technology, Kraków, Poland
Alexandros Charitos - TU Bergakademie Freiberg, Germany
Ganesh Chate - KLS Gogte Institute of Technology, India
L.Q. Chen - Northeastern University, China
Zhipei Chen - University of Technology, Netherlands
Józef Dańko - AGH University of Science and Technology, Kraków, Poland
Brij Dhindaw - Indian Institute of Technology Bhubaneswar, India
Derya Dispinar - Istanbul Technical University, Turkey
Rafał Dojka - ODLEWNIA RAFAMET Sp. z o. o., Kuźnia Raciborska, Poland
Anna Dolata - Silesian University of Technology, Gliwice, Poland
Agnieszka Dulska - Silesian University of Technology, Gliwice, Poland
Maciej Dyzia - Silesian University of Technology, Poland
Eray Erzi - Istanbul University, Turkey
Przemysław Fima - Institute of Metallurgy and Materials Science PAN, Kraków, Poland
Aldona Garbacz-Klempka - AGH University of Science and Technology, Kraków, Poland
Dipak Ghosh - Forace Polymers P Ltd., India
Beata Grabowska - AGH University of Science and Technology, Kraków, Poland
Adam Grajcar - Silesian University of Technology, Gliwice, Poland
Grzegorz Gumienny - Technical University of Lodz, Poland
Gábor Gyarmati - Foundry Institute, University of Miskolc, Hungary
Krzysztof Herbuś - Silesian University of Technology, Gliwice, Poland
Aleš Herman - Czech Technical University in Prague, Czech Republic
Mariusz Holtzer - AGH University of Science and Technology, Kraków, Poland
Małgorzata Hosadyna-Kondracka - Łukasiewicz Research Network - Krakow Institute of Technology, Kraków, Poland
Jarosław Jakubski - AGH University of Science and Technology, Kraków, Poland
Krzysztof Janerka - Silesian University of Technology, Gliwice, Poland
Robert Jasionowski - Maritime University of Szczecin, Poland
Agata Jażdżewska - Gdansk University of Technology, Poland
Jan Jezierski - Silesian University of Technology, Gliwice, Poland
Karolina Kaczmarska - AGH University of Science and Technology, Kraków, Poland
Jadwiga Kamińska - Centre of Casting Technology, Łukasiewicz Research Network – Krakow Institute of Technology, Poland
Adrian Kampa - Silesian University of Technology, Gliwice, Poland
Wojciech Kapturkiewicz- AGH University of Science and Technology, Kraków, Poland
Tatiana Karkoszka - Silesian University of Technology, Gliwice, Poland
Gholamreza Khalaj - Islamic Azad University, Saveh Branch, Iran
Himanshu Khandelwal - National Institute of Foundry & Forging Technology, Hatia, Ranchi, India
Angelika Kmita - AGH University of Science and Technology, Kraków, Poland
Grzegorz Kokot - Silesian University of Technology, Gliwice, Poland
Ladislav Kolařík - CTU in Prague, Czech Republic
Marcin Kondracki - Silesian University of Technology, Gliwice, Poland
Dariusz Kopyciński - AGH University of Science and Technology, Kraków, Poland
Janusz Kozana - AGH University of Science and Technology, Kraków, Poland
Tomasz Kozieł - AGH University of Science and Technology, Kraków, Poland
Aleksandra Kozłowska - Silesian University of Technology, Gliwice Poland
Halina Krawiec - AGH University of Science and Technology, Kraków, Poland
Ivana Kroupová - VSB - Technical University of Ostrava, Czech Republic
Wacław Kuś - Silesian University of Technology, Gliwice, Poland
Jacques Lacaze - University of Toulouse, France
Avinash Lakshmikanthan - Nitte Meenakshi Institute of Technology, India
Jaime Lazaro-Nebreda - Brunel Centre for Advanced Solidification Technology, Brunel University London, United Kingdom
Janusz Lelito - AGH University of Science and Technology, Kraków, Poland
Tomasz Lipiński - University of Warmia and Mazury in Olsztyn, Poland
Mariusz Łucarz - AGH University of Science and Technology, Kraków, Poland
Maria Maj - AGH University of Science and Technology, Kraków, Poland
Jerzy Mendakiewicz - Silesian University of Technology, Gliwice, Poland
Hanna Myalska-Głowacka - Silesian University of Technology, Gliwice, Poland
Kostiantyn Mykhalenkov - Physics-Technological Institute of Metals and Alloys, National Academy of Science of Ukraine, Ukraine
Dawid Myszka - Politechnika Warszawska, Warszawa, Poland
Maciej Nadolski - Czestochowa University of Technology, Poland
Daniel Nowak - Wrocław University of Science and Technology, Poland
Mitsuhiro Okayasu - Okayama University, Japan
Agung Pambudi - Sebelas Maret University in Indonesia, Indonesia
Richard Pastirčák - University of Žilina, Slovak Republic
Bogdan Piekarski - Zachodniopomorski Uniwersytet Technologiczny, Szczecin, Poland
Bogusław Pisarek - Politechnika Łódzka, Poland
Seyda Polat - Kocaeli University, Turkey
Hartmut Polzin - TU Bergakademie Freiberg, Germany
Alena Pribulova - Technical University of Košice, Slovak Republic
Cezary Rapiejko - Lodz University of Technology, Poland
Arron Rimmer - ADI Treatments, Doranda Way, West Bromwich West Midlands, United Kingdom
Iulian Riposan - Politehnica University of Bucharest, Romania
Ferdynand Romankiewicz - Uniwersytet Zielonogórski, Zielona Góra, Poland
Mario Rosso - Politecnico di Torino, Italy
Jaromír Roučka - Brno University of Technology, Czech Republic
Charnnarong Saikaew - Khon Kaen University, Thailand
Mariola Saternus - Silesian University of Technology, Gliwice, Poland
Karthik Shankar - Amrita Vishwa Vidyapeetham , Amritapuri, India
Vasudev Shinde - Shivaji University, Kolhapur, Rajwada, Ichalkaranji, India
Robert Sika - Politechnika Poznańska, Poznań, Poland
Jerzy Sobczak - AGH University of Science and Technology, Kraków, Poland
Sebastian Sobula - AGH University of Science and Technology, Kraków, Poland
Marek Soiński - Akademia im. Jakuba z Paradyża w Gorzowie Wielkopolskim, Poland
Mateusz Stachowicz - Wroclaw University of Technology, Poland
Marcin Stawarz - Silesian University of Technology, Gliwice, Poland
Andrzej Studnicki - Silesian University of Technology, Gliwice, Poland
Mayur Sutaria - Charotar University of Science and Technology, CHARUSAT, Gujarat, India
Maciej Sułowski - AGH University of Science and Technology, Kraków, Poland
Sutiyoko Sutiyoko - Manufacturing Polytechnic of Ceper, Klaten, Indonesia
Tomasz Szymczak - Lodz University of Technology, Poland
Marek Tkocz - Silesian University of Technology, Gliwice, Poland
Andrzej Trytek - Rzeszow University of Technology, Poland
Jacek Trzaska - Silesian University of Technology, Gliwice, Poland
Robert B Tuttle - Western Michigan University, United States
Muhammet Uludag - Selcuk University, Turkey
Seyed Ebrahim Vahdat - Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran
Tomasz Wrobel - Silesian University of Technology, Gliwice, Poland
Ryszard Władysiak - Lodz University of Technology, Poland
Antonin Zadera - Brno University of Technology, Czech Republic
Renata Zapała - AGH University of Science and Technology, Kraków, Poland
Bo Zhang - Hunan University of Technology, China
Xiang Zhang - Wuhan University of Science and Technology, China
Eugeniusz Ziółkowski - AGH University of Science and Technology, Kraków, Poland
Sylwia Żymankowska-Kumon - AGH University of Science and Technology, Kraków, Poland
Andrzej Zyska - Czestochowa University of Technology, Poland



List of Reviewers 2020

Shailee Acharya - S. V. I. T Vasad, India
Mohammad Azadi - Semnan University, Iran
Rafał Babilas - Silesian University of Technology, Gliwice, Poland
Czesław Baron - Silesian University of Technology, Gliwice, Poland
Dariusz Bartocha - Silesian University of Technology, Gliwice, Poland
Emin Bayraktar - Supmeca/LISMMA-Paris, France
Jaroslav Beňo - VSB-Technical University of Ostrava, Czech Republic
Artur Bobrowski - AGH University of Science and Technology, Kraków, Poland
Grzegorz Boczkal - AGH University of Science and Technology, Kraków, Poland
Wojciech Borek - Silesian University of Technology, Gliwice, Poland
Pedro Brito - Pontifical Catholic University of Minas Gerais, Brazil
Marek Bruna - University of Žilina, Slovak Republic
John Campbell - University of Birmingham, United Kingdom
Ganesh Chate - Gogte Institute of Technology, India
L.Q. Chen - Northeastern University, China
Mirosław Cholewa - Silesian University of Technology, Gliwice, Poland
Khanh Dang - Hanoi University of Science and Technology, Viet Nam
Vladislav Deev - Wuhan Textile University, China
Brij Dhindaw - Indian Institute of Technology Bhubaneswar, India
Derya Dispinar - Istanbul Technical University, Turkey
Malwina Dojka - Silesian University of Technology, Gliwice, Poland
Rafał Dojka - ODLEWNIA RAFAMET Sp. z o. o., Kuźnia Raciborska, Poland
Anna Dolata - Silesian University of Technology, Gliwice, Poland
Agnieszka Dulska - Silesian University of Technology, Gliwice, Poland
Tomasz Dyl - Gdynia Maritime University, Poland
Maciej Dyzia - Silesian University of Technology, Gliwice, Poland
Eray Erzi - Istanbul University, Turkey
Katarzyna Gawdzińska - Maritime University of Szczecin, Poland
Sergii Gerasin - Pryazovskyi State Technical University, Ukraine
Dipak Ghosh - Forace Polymers Ltd, India
Marcin Górny - AGH University of Science and Technology, Kraków, Poland
Marcin Gołąbczak - Lodz University of Technology, Poland
Beata Grabowska - AGH University of Science and Technology, Kraków, Poland
Adam Grajcar - Silesian University of Technology, Gliwice, Poland
Grzegorz Gumienny - Technical University of Lodz, Poland
Libor Hlavac - VSB Ostrava, Czech Republic
Mariusz Holtzer - AGH University of Science and Technology, Kraków, Poland
Philippe Jacquet - ECAM, Lyon, France
Jarosław Jakubski - AGH University of Science and Technology, Kraków, Poland
Damian Janicki - Silesian University of Technology, Gliwice, Poland
Witold Janik - Silesian University of Technology, Gliwice, Poland
Robert Jasionowski - Maritime University of Szczecin, Poland
Jan Jezierski - Silesian University of Technology, Gliwice, Poland
Jadwiga Kamińska - Łukasiewicz Research Network – Krakow Institute of Technology, Poland
Justyna Kasinska - Kielce University Technology, Poland
Magdalena Kawalec - Akademia Górniczo-Hutnicza, Kraków, Poland
Angelika Kmita - AGH University of Science and Technology, Kraków, Poland
Ladislav Kolařík -Institute of Engineering Technology CTU in Prague, Czech Republic
Marcin Kondracki - Silesian University of Technology, Gliwice, Poland
Sergey Konovalov - Samara National Research University, Russia
Aleksandra Kozłowska - Silesian University of Technology, Gliwice, Poland
Janusz Krawczyk - AGH University of Science and Technology, Kraków, Poland
Halina Krawiec - AGH University of Science and Technology, Kraków, Poland
Ivana Kroupová - VSB - Technical University of Ostrava, Czech Republic
Agnieszka Kupiec-Sobczak - Cracow University of Technology, Poland
Tomasz Lipiński - University of Warmia and Mazury in Olsztyn, Poland
Aleksander Lisiecki - Silesian University of Technology, Gliwice, Poland
Krzysztof Lukaszkowicz - Silesian University of Technology, Gliwice, Poland
Mariusz Łucarz - AGH University of Science and Technology, Kraków, Poland
Katarzyna Major-Gabryś - AGH University of Science and Technology, Kraków, Poland
Pavlo Maruschak - Ternopil Ivan Pului National Technical University, Ukraine
Sanjay Mohan - Shri Mata Vaishno Devi University, India
Marek Mróz - Politechnika Rzeszowska, Rzeszów, Poland
Sebastian Mróz - Czestochowa University of Technology, Poland
Kostiantyn Mykhalenkov - National Academy of Science of Ukraine, Ukraine
Dawid Myszka - Politechnika Warszawska, Warszawa, Poland
Maciej Nadolski - Czestochowa University of Technology, Częstochowa, Poland
Konstantin Nikitin - Samara State Technical University, Russia
Daniel Pakuła - Silesian University of Technology, Gliwice, Poland


This page uses 'cookies'. Learn more