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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;  Hong YS(洪友士)
收藏  |  浏览/下载：25/0  |  提交时间：2024/03/11
Fatigue life prediction  LPBF-fabricated Ti-6Al-4V  Continuum damage mechanics  Defect  Very-high-cycle fatigue  
High-temperature fatigue behavior of TC17 titanium alloy and influence of surface oxidation 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 176, 页码: 107896
作者:  Li G(李根);  Guo YY(郭艺云);  Rui SS(芮少石);  Sun CQ(孙成奇)
Adobe PDF(18488Kb)  |  收藏  |  浏览/下载：65/0  |  提交时间：2023/09/26
TC17 titanium alloy  Low and high cycle fatigue  Failure mechanism  High temperature  Surface oxidation  
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：93/3  |  提交时间：2023/12/11
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  
Machine learning based very high cycle fatigue life prediction of AlSi10Mg alloy fabricated by selective laser melting 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 171, 页码: 107585
作者:  Shi T(时涛);  Sun JY(孙经雨);  Li JH(李江华);  Qian GA(钱桂安);  Hong YS(洪友士)
Adobe PDF(17637Kb)  |  收藏  |  浏览/下载：74/0  |  提交时间：2023/04/20
Very high cycle fatigue (VHCF)  Machine learning (ML)  Selective laser melting (SLM)  Fatigue life prediction  Interpolation  
Robust quantile regression analysis for probabilistic modelling of S-N curves 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 167, 页码: 14
作者:  Zou, Qingrong;  Zhao, Jianxi;  Wen JC(温济慈)
Adobe PDF(1698Kb)  |  收藏  |  浏览/下载：102/2  |  提交时间：2023/02/03
N curves  Fatigue life  Quantile regression  Fatigue design  
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：219/1  |  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  
Fatigue properties and S-N curve estimating of 316L stainless steel prepared by SLM 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2022, 卷号: 162, 页码: 21
作者:  Zeng, Fanyu;  Yang YT(杨永泰);  Qian GA(钱桂安)
Adobe PDF(16797Kb)  |  收藏  |  浏览/下载：223/43  |  提交时间：2022/07/18
Metal additive manufacturing  316L stainless steel  DMS-PSO  Fatigue performance  S-N curve  
Interior initiation and early growth of very high cycle fatigue crack in an additively manufactured Ti-alloy 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2022, 卷号: 160, 页码: 9
作者:  Chi, Weiqian;  Li G(李根);  Wang, Wenjing;  Sun CQ(孙成奇)
Adobe PDF(10381Kb)  |  收藏  |  浏览/下载：133/27  |  提交时间：2022/07/18
Additively manufactured titanium alloy  Very high cycle fatigue  Interior crack initiation  Ultralow crack growth rate  Grain refinement  
Experimental and computational investigation of weathering steel Q450NQR1 under high cycle fatigue loading via crystal plasticity finite element method 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2022, 卷号: 159, 页码: 12
作者:  Cong, Tao;  Li, Ruiyang;  Zheng, Zhanguang;  Ma, Xianfeng;  Wu, Si;  Zhang, Ruiqi;  Berto, Filippo;  Sun JY(孙经雨);  Qian GA(钱桂安)
Adobe PDF(17646Kb)  |  收藏  |  浏览/下载：146/35  |  提交时间：2022/07/18
Crystal plasticity  Very-high-cycle fatigue  Inclusion  Voronoi tessellation  Fatigue indicator parameter