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Machine Learning Method for Fatigue Strength Prediction of Nickel-Based Superalloy with Various Influencing Factors 期刊论文
MATERIALS, 2023, 卷号: 16, 期号: 1, 页码: 13
作者:  Guo, Yiyun;  Rui SS(芮少石);  Xu, Wei;  Sun CQ(孙成奇)
Adobe PDF(9664Kb)  |  收藏  |  浏览/下载：74/0  |  提交时间：2023/02/09
machine learning  nickel-based superalloy  fatigue strength prediction  temperature  stress ratio  
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：47/0  |  提交时间：2023/04/20
laser powder bed fusion  stress ratio  surface roughness  Ti 6Al 4V  very high cycle fatigue  
High cycle and very high cycle fatigue of TC17 titanium alloy: Stress ratio effect and fatigue strength modeling 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 166, 页码: 16
作者:  Li G(李根);  Ke, Lei;  Ren, Xuechong;  Sun CQ(孙成奇)
Adobe PDF(30455Kb)  |  收藏  |  浏览/下载：216/1  |  提交时间：2022/11/28
TC17 titanium alloy  High cycle fatigue  Very high cycle fatigue  Stress ratio  Crack initiation mechanism  Fatigue strength modeling