Virtual and Physical Prototyping
Volume 19, 2024 - Issue 1
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Research Article
Multi-physics information-integrated neural network for fatigue life prediction of additively manufactured Hastelloy X superalloy
Haijie Wanga School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, People’s Republic of ChinaView further author information
, Bo Lia School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, People’s Republic of China;b Shanghai Collaborative Innovation Centre for High-end Equipment Reliability, Shanghai, People’s Republic of ChinaCorrespondence[email protected]
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Liming Leic AECC Commercial Aircraft Engine Co., Ltd, Shanghai, People’s Republic of China;d TaiHang Laboratory, Chengdu, People’s Republic of ChinaView further author information
& Fuzhen Xuana School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, People’s Republic of China;b Shanghai Collaborative Innovation Centre for High-end Equipment Reliability, Shanghai, People’s Republic of ChinaCorrespondence[email protected]
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Article: e2368652
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Received 29 Apr 2024, Accepted 11 Jun 2024, Published online: 07 Jul 2024
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