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Knowledge Management System of Institue of Mechanics, CAS
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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./通讯作者:Sun, Chengqi
Authors:
Guo, Yiyun
;
Rui SS(芮少石)
;
Xu, Wei
;
Sun CQ(孙成奇)
Adobe PDF(9664Kb)
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View/Download:196/65
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Submit date:2023/02/09
machine learning
nickel-based superalloy
fatigue strength prediction
temperature
stress ratio
Effects of defects on fatigue behavior of TC17 titanium alloy for compressor blades: Crack initiation and modeling of fatigue strength
期刊论文
ENGINEERING FRACTURE MECHANICS, 2022, 卷号: 259, 页码: 13./通讯作者:Wang, Wenjing
Authors:
Chi, Weiqian
;
Wang, Wenjing
;
Xu, Wei
;
Li, Gen
;
Chen, Xin
;
Sun CQ(孙成奇)
Adobe PDF(16769Kb)
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View/Download:398/98
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Submit date:2022/01/12
TC17 titanium alloy
Surface defect
Very high cycle fatigue
Crack initiation
Fatigue strength prediction
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