Details Details PDF BIBTEX RIS Title Multi-Objective Optimization of Squeeze Casting Process using Genetic Algorithm and Particle Swarm Optimization Journal title Archives of Foundry Engineering Yearbook 2016 Issue No 3 Authors Patel, G.C.M. ; Krishna, P. ; Vundavilli, P.R. ; Parappagoudar, M.B. Keywords genetic algorithm ; Squeeze casting process ; Multi-objective optimization ; Particle swarm optimization and multi-objectiveparticle swarm optimization based on crowding distance (MOPSO-CD). Divisions of PAS Nauki Techniczne Publisher The Katowice Branch of the Polish Academy of Sciences Date 2016 Type Artykuły / Articles Identifier DOI: 10.1515/afe-2016-0073 ; eISSN 2299-2944 Source Archives of Foundry Engineering; 2016; No 3 References Patel (2015), Modelling of squeeze casting process using design of experiments and response surface methodology of Metals, International Journal Cast Research, 28, 167, doi.org/10.1179/1743133614Y.0000000144 ; Ali (2006), Multi - objective optimization of abrasive flow machining process using polynomial neural networks and genetic algorithms Machining Science Technology : An International, Journal, 35, 491. ; Britnell (2003), Macrosegregation in thin walled castings produced via the direct squeeze casting process of Materials Processing, Journal Technology, 138, 306. ; Yang (2003), The effect of casting temperature on the properties of squeeze cast aluminium and zinc alloys of Materials Processing, Journal Technology, 140, 391. ; Datta (2010), Optimization of turning process parameters using multi - objective evolutionary algorithms In : Proceedings of the on Computation Barcelona, IEEE Congress Evolutionary, 38, 1, doi.org/10.1109/CEC.2010.5586296 ; Yang (2007), The effect of solidification time in squeeze casting of aluminium and zinc alloys of Materials Processing Technology, Journal, 192. ; Hu (1998), Squeeze casting of magnesium alloys and their composites of Materials, Journal Science, 33, 1579. ; Guo (2012), Optimization of AZ magnesium alloy squeeze cast process parameters using morphological matrix of Metals of, Transactions Nonferrous Society China, 80, 411, doi.org/10.1016/S1003-6326(11)61192-8 ; Vijian (2007), Modelling and multi objective optimization of LM aluminium alloy squeeze cast process parameters using genetic algorithm of Materials Processing, Journal Technology, 24, 82. ; Bin (2013), Influence of technical parameters on strength and ductility of AlSi Cu alloys in squeeze casting of Metals of, Transactions Nonferrous Society China, 24, 977, doi.org/10.1016/S1003-6326(13)62555-8 ; Senthil (2012), Optimization of squeeze casting parameters for non symmetrical AC A aluminium alloy castings through Taguchi method of and, Journal Mechanical Science Technology, 2, 1141, doi.org/10.1007/s12206-012-0215-z ; Linder (2006), The influence of porosity on the fatigue life for sand and permanent mould cast aluminium of, International Journal Fatigue, 41, 1752, doi.org/10.1016/j.ijfatigue.2006.01.001 ; Ghomashchi (2000), Squeeze casting : an overview of Materials Processing, Journal Technology, 101, 1. ; Chattopadhyay (2007), Simulation of transport processes in squeeze casting of Materials Processing, Journal Technology, 186, 174. ; Vijian (2007), Study of surface roughness in squeeze casting LM aluminium alloy using Taguchi method of Engineering Materials, Indian Journal Sciences, 6, 7. ; Patel (2016), Multi - objective optimization of squeeze casting process using evolutionary algorithms of Swarm Intelligence Research, International Journal, 40, 57, doi.org/10.4018/IJSIR.2016010103 ; Yue (1997), Squeeze casting of high - strength aluminium wrought alloy AA of Materials Processing, Journal Technology, 66, 7010. ; Saravanan (2001), Genetic algorithm for multivariable surface grinding process optimisation using a multi - objective function model The of Manufacturing, International Journal Advanced Technology, 32, 330, doi.org/10.1007/s001700170167 ; Surekha (2012), Multi - objective optimization of green sand mould system using evolutionary algorithms The of Manufacturing, International Journal Advanced Technology, 31, 9, doi.org/10.1007/s00170-011-3365-8 ; Senthil (2014), Experimental study and squeeze casting process optimization for high quality AC A aluminium alloy castings for and, Arabian Journal Science Engineering, 2, 2215, doi.org/10.1007/s13369-013-0752-5 ; Rao (2008), Multi - objective optimization of electrochemical machining process parameters using a particle swarm optimization Proceedings of the Institution of Mechanical Engineers , , of, Part B Journal Engineering Manufacture, 222. ; Vijian (2006), Optimization of squeeze cast parameters of LM aluminium alloy for surface roughness using Taguchi method of Materials Processing, Journal Technology, 6, 161. ; Yue (1996), Squeeze casting of light alloys and their composites of Materials Processing, Journal Technology, 58, 302. ; Abido (2001), Particle swarm optimization for multimachine power system stabilizer design In Power Summer Meeting IEEE, Engineering Society, 1346. ; Kuriakose (2005), Multi - objective optimization of wire - electro discharge machining process by non - dominated sorting genetic algorithm of Materials Processing, Journal Technology, 170, 133. ; Vundavilli (2013), Weighted average - based multi - objective optimization of tube spinning process using non - traditional optimization techniques of Swarm Intelligence Research, International Journal, 4, 42.