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Date Issued：2023
Funding Organization：Guangdong basic and applied basic research foundation [2019A1515110758]
Document Type：期刊论文
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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
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)
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Submit date：2023/06/15
Fatigue life prediction
Deep learning method
Laser powder bed fusion
Ti-6Al-4V
Very -high -cycle fatigue
