Explainable machine learning for understanding and predicting geometry and defect types in Fe-Ni alloys fabricated by laser metal deposition additive manufacturing

Journal of Materials Research and Technology - Tập 22 - Trang 413-423 - 2023
Jeong Ah Lee1, Man Jae Sagong1,2, Jaimyun Jung3, Eun Seong Kim1, Hyoung Seop Kim1,4,5
1Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
2Aero Technology Research Institute, Republic of Korea Air Force, Republic of Korea
3Department of Materials AI & Big-Data, Korea Institute of Materials Science (KIMS), Changwon-si, Republic of Korea
4Graduate Institute of Ferrous Technology, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
5Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul, 03722, Republic of Korea

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