Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review-Reference-Cited by-同舟云学术

Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review

Published:2024-11 Issue: Volume:198 Page:111-136
ISSN:1005-0302
Container-title:Journal of Materials Science & Technology
language:en
Short-container-title:Journal of Materials Science & Technology

Author:

Wang H.^ORCID,Gao S.L.,Wang B.T.,Ma Y.T.,Guo Z.J.,Zhang K.,Yang Y.,Yue X.Z.,Hou J.,Huang H.J.,Xu G.P.,Li S.J.,Feng A.H.^ORCID,Teng C.Y.,Huang A.J.,Zhang L.-C.^ORCID,Chen D.L.

Publisher

Elsevier BV

Reference82 articles.

1. Designing a New Material World

2. Deep learning for smart manufacturing: Methods and applications

3. A systematic literature review on recent trends of machine learning applications in additive manufacturing

4. A Review of Model Inaccuracy and Parameter Uncertainty in Laser Powder Bed Fusion Models and Simulations

5. A Conceptual Design and Modeling Framework for Integrated Additive Manufacturing

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