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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：94/3  |  提交时间：2023/12/11
Beyond Orowan hardening: Mapping the four distinct mechanisms associated with dislocation-precipitate interaction 期刊论文
INTERNATIONAL JOURNAL OF PLASTICITY, 2023, 卷号: 169, 页码: 103710
作者:  Peng, Shenyou;  Wang, Zhili;  Li, Jia;  Fang, Qihong;  Wei YJ(魏宇杰)
Adobe PDF(9904Kb)  |  收藏  |  浏览/下载：58/2  |  提交时间：2023/09/26
Dislocation  Precipitate  Orowan hardening  Radiation-emission  Interface-nucleation  
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：58/0  |  提交时间：2023/06/15
Fatigue life prediction  Deep learning method  Laser powder bed fusion  Ti-6Al-4V  Very -high -cycle fatigue