Invited review: Machine learning for materials developments in metals additive manufacturing-Reference-Cited by-同舟云学术

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Invited review: Machine learning for materials developments in metals additive manufacturing

Published:2020-12 Issue: Volume:36 Page:101641
ISSN:2214-8604
Container-title:Additive Manufacturing
language:en
Short-container-title:Additive Manufacturing

Author:

Johnson N.S.,Vulimiri P.S.,To A.C.,Zhang X.,Brice C.A.,Kappes B.B.,Stebner A.P.

Funder

U.S. Department of Defense

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Engineering (miscellaneous),General Materials Science,Biomedical Engineering

Reference258 articles.

1. Key computational modeling issues in Integrated Computational Materials Engineering

2. Designing a New Material World

3. Fatigue performance of additive manufactured metallic parts

4. Effects of Defects in Laser Additive Manufactured Ti-6Al-4V on Fatigue Properties

5. Fatigue performance evaluation of selective laser melted Ti–6Al–4V

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