Physics-Informed Machine Learning for Accurate Prediction of Temperature and Melt Pool Dimension in Metal Additive Manufacturing
Author:
Affiliation:
1. The Institute of Technological Sciences, Wuhan University, Wuhan, China.
2. Department of Engineering, Lancaster University, Lancaster, United Kingdom.
3. School of Power and Mechanical Engineering, Wuhan University, Wuhan, China.
Publisher
Mary Ann Liebert Inc
Subject
Industrial and Manufacturing Engineering,Materials Science (miscellaneous)
Link
https://www.liebertpub.com/doi/pdf/10.1089/3dp.2022.0363
Reference37 articles.
1. Review of selective laser melting: Materials and applications
2. Residual Stress within Metallic Model Made by Selective Laser Melting Process
3. Fabrication of NiCr alloy parts by selective laser melting: Columnar microstructure and anisotropic mechanical behavior
4. Melt pool simulation for the evaluation of process parameters in selective laser melting
5. An Overview of Additive Manufacturing Technologies—A Review to Technical Synthesis in Numerical Study of Selective Laser Melting
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