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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
作者:  Jia, Yinfeng;  Fu, Rui;  Ling, Chao;  Shen, Zheng;  Zheng, Liang;  Zhong, Zheng;  Hong YS(洪友士)
Adobe PDF(236Kb)  |  收藏  |  浏览/下载：104/6  |  提交时间：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
作者:  Jia, Yinfeng;  Fu, Rui;  Ling, Chao;  Shen, Zheng;  Zheng, Liang;  Zhong, Zheng;  Hong YS(洪友士)
Adobe PDF(7230Kb)  |  收藏  |  浏览/下载：59/1  |  提交时间：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
作者:  Fu, Rui;  Zheng, Liang;  Zhong, Zheng;  Hong YS(洪友士)
Adobe PDF(3071Kb)  |  收藏  |  浏览/下载：50/1  |  提交时间：2023/04/20
laser powder bed fusion  stress ratio  surface roughness  Ti 6Al 4V  very high cycle fatigue