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Source Publication：INTERNATIONAL JOURNAL OF FATIGUE
Date Issued：2023
Author：洪友士
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Community：非线性力学国家重点实验室
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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)
Adobe PDF(7230Kb)
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View/Download：65/1
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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
Machine learning based very high cycle fatigue life prediction of AlSi10Mg alloy fabricated by selective laser melting
期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 171, 页码: 107585
Authors:
Shi T(时涛)
;
Sun JY(孙经雨)
;
Li JH(李江华)
;
Qian GA(钱桂安)
;
Hong YS(洪友士)
Adobe PDF(17637Kb)
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View/Download：79/2
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Submit date：2023/04/20
Very high cycle fatigue (VHCF)
Machine learning (ML)
Selective laser melting (SLM)
Fatigue life prediction
Interpolation
