Details

Title

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

Journal title

Archives of Metallurgy and Materials

Yearbook

2025

Volume

vol. 70

Issue

No 3

Authors

Affiliation

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

Keywords

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

Divisions of PAS

Nauki Techniczne

Coverage

1085-1088

Publisher

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

Date

30.09.2025

Type

Article

Identifier

DOI: 10.24425/amm.2025.154447
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