Deep learning accelerates the development of Ni-based single crystal superalloys: A physical-constrained neural network for creep rupture life prediction-Reference-Cited by-同舟云学术

Deep learning accelerates the development of Ni-based single crystal superalloys: A physical-constrained neural network for creep rupture life prediction

Published:2023-08 Issue: Volume:232 Page:112174
ISSN:0264-1275
Container-title:Materials & Design
language:en
Short-container-title:Materials & Design

Author:

Yang Fan,Zhao Wenyue,Ru Yi,Pei Yanling,Li Shusuo,Gong Shengkai,Xu Huibin

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference79 articles.

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4. Predicting long-term creep-rupture property of Inconel 740 and 740H;Dang;Mater. High Temp.,2016

5. A model for the creep deformation behaviour of single-crystal superalloy CMSX-4;Ma;Acta Mater.,2008

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