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Knowledge Management System of Institue of Mechanics, CAS
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Creator:Zhong, Zheng
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Date Issued:2023
Language:英语
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:118/9
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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)
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View/Download:62/1
  |  
Submit date:2023/06/15
Fatigue life prediction
Deep learning method
Laser powder bed fusion
Ti-6Al-4V
Very -high -cycle fatigue
High cycle and very high cycle fatigue behavior at two stress ratios of Ti 6Al 4V manufactured via laser powder bed fusion with different surface states
期刊论文
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2023
Authors:
Fu, Rui
;
Zheng, Liang
;
Zhong, Zheng
;
Hong YS(洪友士)
Adobe PDF(3071Kb)
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View/Download:55/1
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Submit date:2023/04/20
laser powder bed fusion
stress ratio
surface roughness
Ti 6Al 4V
very high cycle fatigue