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中国科学院力学研究所机构知识库
Knowledge Management System of Institue of Mechanics, CAS
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Indexed By：SCI
Creator：Ling, Chao
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Date Issued：2023
Author：洪友士
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Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime (vol 172, 107645, 2023)
期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 176, 页码: 1
Authors:
Jia, Yinfeng
;
Fu, Rui
;
Ling, Chao
;
Shen, Zheng
;
Zheng, Liang
;
Zhong, Zheng
;
Hong YS(洪友士)
Adobe PDF(236Kb)
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View/Download：111/7
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Submit date：2023/12/11
Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime
期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 172, 页码: 107645
Authors:
Jia, Yinfeng
;
Fu, Rui
;
Ling, Chao
;
Shen, Zheng
;
Zheng, Liang
;
Zhong, Zheng
;
Hong YS(洪友士)
Adobe PDF(7230Kb)
|
Favorite
|
View/Download：60/1
|
Submit date：2023/06/15
Fatigue life prediction
Deep learning method
Laser powder bed fusion
Ti-6Al-4V
Very -high -cycle fatigue
