Tytuł artykułu

Comparison and Identification of Optimal Machine Learning Model for Rapid Process Modeling of Aerosol Jet Printing Technology

Tytuł czasopisma

Archives of Metallurgy and Materials

Rocznik

2025

Wolumin

vol. 70

Numer

No 3

Autorzy

Choi, Joon Phil ; Kim, Yongrae ; Shin, Dongwoon ; Jung, Min-Kyo ; Lee, Pil-Ho ; Moon, Seung Ki ; Zhang, Haining

Afiliacje

Choi, Joon Phil : Department of 3D Printing, Korea Institute of Machinery & Materials, Daejeon, Republic of Korea ; Kim, Yongrae : Department of 3D Printing, Korea Institute of Machinery & Materials, Daejeon, Republic of Korea ; Shin, Dongwoon : Department of 3D Printing, Korea Institute of Machinery & Materials, Daejeon, Republic of Korea ; Jung, Min-Kyo : Department of 3D Printing, Korea Institute of Machinery & Materials, Daejeon, Republic of Korea ; Lee, Pil-Ho : Department of 3D Printing, Korea Institute of Machinery & Materials, Daejeon, Republic of Korea ; Moon, Seung Ki : School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore ; Zhang, Haining : School of Information Engineering, Suzhou University, Suzhou, China

Słowa kluczowe

Machine learning ; Process modeling ; Printed line width ; Aerosol jet 3D printing ; Optimal model identification

Wydział PAN

Nauki Techniczne

Zakres

1085-1088

Wydawca

Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences

Data

30.09.2025

Typ

Article

Identyfikator

DOI: 10.24425/amm.2025.154447 ; e-ISSN 2300-1909