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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
Authors:  Guo, Yiyun;  Rui SS(芮少石);  Xu, Wei;  Sun CQ(孙成奇)
Adobe PDF(9664Kb)  |  Favorite  |  View/Download:83/1  |  Submit date:2023/02/09
machine learning  nickel-based superalloy  fatigue strength prediction  temperature  stress ratio  
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
Authors:  Li G(李根);  Ke, Lei;  Ren, Xuechong;  Sun CQ(孙成奇)
Adobe PDF(30455Kb)  |  Favorite  |  View/Download:233/2  |  Submit date:2022/11/28
TC17 titanium alloy  High cycle fatigue  Very high cycle fatigue  Stress ratio  Crack initiation mechanism  Fatigue strength modeling