COMPUTATIONAL MODELING AND PHYSICS-INFORMED MACHINE LEARNING OF METAL ADDITIVE MANUFACTURING: STATE-OF-THE-ART AND FUTURE PERSPECTIVE-Reference-Cited by-同舟云学术

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COMPUTATIONAL MODELING AND PHYSICS-INFORMED MACHINE LEARNING OF METAL ADDITIVE MANUFACTURING: STATE-OF-THE-ART AND FUTURE PERSPECTIVE

Published:2022 Issue:1 Volume:24 Page:303-337
ISSN:1049-0787
Container-title:Annual Review of Heat Transfer
language:en
Short-container-title:Annual Rev Heat Transfer

Author:

Sharma R.,Guo Y. B.

Publisher

Begell House

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Condensed Matter Physics

Reference143 articles.

1. ASTM, Standard Terminology for Additive Manufacturing Technologies: Designation F2792-12a, ASTM Int., West Conshohocken, PA, 2012.

2. ASTM, Additive Manufacturing-General Principle-Terminology, ASTM Int., West Conshohocken, PA,2016.

3. Deckard, C.R., Method and Apparatus for Producing Parts by Selective Sintering, Google Patents, Patent No. 4863538, 1989.

4. Meiners, W., Wissenbach, K., and Gasser, A., Shaped Body Especially Prototype or Replacement Part Production, Patent No. DE19649865C1, 1998.

5. Larson, R., Method and Device for Producing Three-Dimensional Bodies, Google Patents, Patent No. 5786562, 1998.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting and correlating melt pool characteristics with processing parameters in IN625 powder bed fusion additive manufacturing;Journal of Manufacturing Processes;2024-07

2. Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics;Journal of Manufacturing Science and Engineering;2024-05-21

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