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Fatigue life prediction for LPBF-fabricated Ti-6Al-4V up to very-high-cycle regime based on continuum damage mechanics incorporating effect of defects
期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2024, 卷号: 181, 页码: 13
作者:
Ling, Chao
;
Jia, Yinfeng
;
Fu, Rui
;
Zheng, Liang
;
Zhong, Zheng
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/03/11
Fatigue life prediction
LPBF-fabricated Ti-6Al-4V
Continuum damage mechanics
Defect
Very-high-cycle fatigue
Low-cycle and dwell fatigue properties for a near alpha titanium alloy Ti-6Al-3Nb-2Zr-1Mo
期刊论文
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2024, 卷号: 29, 页码: 2204-2215
作者:
Zhu, Junchen
;
Xie JJ(谢季佳)
;
Wang, Jun
;
Xia, Xinglong
;
Lin, Zhaodong
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  |  
浏览/下载:0/0
  |  
提交时间:2024/04/29
Ti6321
Low cycle fatigue
Dwell fatigue
Life prediction
Plastic strain energy
Fatigue and Fracture Behavior of AlSi10Mg Manufactured by Selective Laser Melting: A Review
期刊论文
PHYSICAL MESOMECHANICS, 2023, 卷号: 26, 期号: 4, 页码: 367-390
作者:
Jiang, Z
;
Sun, J
;
Berto, F
;
Wang, X
;
Qian GA(钱桂安)
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/09/05
selective laser melting
AlSi10Mg
crack initiation
post-treatment
fatigue life prediction
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
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/06/15
Fatigue life prediction
Deep learning method
Laser powder bed fusion
Ti-6Al-4V
Very -high -cycle fatigue
Multiaxial fatigue life prediction model considering stress gradient and size effect
期刊论文
International Journal of Pressure Vessels and Piping, 2022, 卷号: 199
作者:
Zhao, He
;
Liu, Jianhui
;
Hua, Feilong
;
Ran, Yong
;
Zi, Rong
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  |  
浏览/下载:17/0
  |  
提交时间:2022/06/20
Forecasting
Size determination
Stress concentration
Critical plane method
Energy
Energy-critical plane method
Fatigue life prediction models
Life predictions
Multi-axial fatigue
Multiaxial fatigue life
Sizes effect
Stress gradient
Stress gradient effects
Multiaxial fatigue life prediction by equivalent energy-based critical plane damage parameter under variable amplitude loading
期刊论文
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2022
作者:
Tao ZQ(陶志强)
;
Qian GA(钱桂安)
;
Sun JY(孙经雨)
;
Zhang ZL
;
Hong YS(洪友士)
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  |  
浏览/下载:16/0
  |  
提交时间:2022/10/23
critical plane
damage parameter
life prediction
multiaxial fatigue
variable amplitude loading
Critical plane-based fatigue life model under multiaxial random loading
期刊论文
International Journal of Structural Integrity, 2022, 卷号: 13, 期号: 5, 页码: 845-856
作者:
Wang, Jie
;
Liu, Jianhui
;
Hua, Feilon
;
He, Yingbao
;
Wang, Xuexue
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  |  
浏览/下载:18/0
  |  
提交时间:2022/09/22
Fatigue damage
Forecasting
Hardening
Titanium alloys
Additional hardening
Critical plane method
Critical planes
Cycle counting
Fatigue life prediction
Life predictions
Multiaxial
Random load
Random loading
Strain cycles
Prediction model of low cycle fatigue life of 304 stainless steel based on genetic algorithm optimized BP neural network
期刊论文
MATERIALS RESEARCH EXPRESS, 2022, 卷号: 9, 期号: 7
作者:
Cao, Mengjie
;
Duan, Hongyan
;
He, Hong
;
Liu, Yang
;
Yue, Shunqiang
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/08/09
304 stainless steel
low cycle fatigue
BP neural network
genetic algorithm
life prediction
Multiaxial fatigue life prediction method considering notch effect and non-proportional hardening
期刊论文
Engineering Failure Analysis, 2022, 卷号: 136
作者:
Ran, Yong
;
Liu, Jianhui
;
Xie, Linjun
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/04/21
Fatigue of materials
Hardening
Stress concentration
Welds
Fatigue life prediction
Field intensity
Life predictions
Multiaxial fatigue life
NON-proportional hardening
Notched effect
Stress field
Stress field intensity approach
The critical plane method
Machine learning based very-high-cycle fatigue life prediction of Ti-6Al-4V alloy fabricated by selective laser melting
期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2022, 卷号: 158, 页码: 9
作者:
Li, Jun
;
Yang, Zhengmao
;
Qian, Guian
;
Berto, Filippo
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/07/18
Very-high-cycle fatigue (VHCF)
Machine learning
Selective laser melting (SLM)
Fatigue life prediction
Monte Carlo simulation (MCs)
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