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Compressive creep behavior of spherical pressure hull scale model for full-ocean-depth manned submersible 期刊论文
OCEAN ENGINEERING, 2022, 卷号: 266, 页码: 11
作者:  Wang, Lei;  Li, Yanqing;  Sun CQ(孙成奇);  Qiu, Jianke;  Huang, Jinhao;  Jiang, Xuyin;  Sun, Zhijie;  Wan, Zhengquan
Adobe PDF(8469Kb)  |  收藏  |  浏览/下载：151/32  |  提交时间：2022/11/28
Full -ocean -depth manned submersible  Titanium alloy  Pressure hull  Compressive creep behavior  Creep constitutive equation  
Strain distribution and lattice rotations during in-situ tension of aluminum with a transmodal grain structure 期刊论文
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2021, 卷号: 828, 页码: 11
作者:  Gao, W. Q.;  Zhang, C. L.;  杨沐鑫.;  Zhang, S. Q.;  Jensen, D. Juul;  Godfrey, A.
Adobe PDF(8128Kb)  |  收藏  |  浏览/下载：251/70  |  提交时间：2021/11/01
Heterogenous grain structure  Strain distribution  High-resolution digital image correlation (HR-DIC)  Near-micrometer grain size  Electron backscatter diffraction (EBSD)  
Effects of Notches and Defects on Dwell Fatigue Mechanism and Fatigue Life of Ti-6Al-4V ELI Alloy Used in Deep-Sea Submersibles 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 卷号: 9, 期号: 8, 页码: 14
作者:  Sun J(孙健);  Wu, Lei;  Sun CQ(孙成奇)
Adobe PDF(5338Kb)  |  收藏  |  浏览/下载：314/118  |  提交时间：2021/11/01
titanium alloy Ti-6Al-4V ELI  notch  defect  dwell fatigue life  failure mechanism  
Effects of intermittent loading time and stress ratio on dwell fatigue behavior of titanium alloy Ti-6Al-4V ELI used in deep-sea submersibles 期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2021, 卷号: 77, 页码: 223-236
作者:  Sun CQ(孙成奇);  Li, Yanqing;  Xu, Kuilong;  Xu, Baotong
Adobe PDF(7581Kb)  |  收藏  |  浏览/下载：220/31  |  提交时间：2021/08/16
Ti-6Al-4V ELI  Dwell fatigue  Intermittent loading time  Stress ratio  Creep fatigue interaction  
Effects of inclusion size and stress ratio on the very-high-cycle fatigue behavior of pearlitic steel 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2021, 卷号: 142, 页码: 11
作者:  Cong, Tao;  Qian, Guian;  Zhang, Guanzhen;  Wu, Si;  Pan, Xiangnan;  Du, Leiming;  Liu, Xiaolong
Adobe PDF(13962Kb)  |  收藏  |  浏览/下载：225/45  |  提交时间：2021/01/12
Pearlitic steel  Very-high-cycle fatigue  Inclusion size  Stress ratio  Nanograins  
Ultrasonic plasticity of metallic glass near room temperature 期刊论文
APPLIED MATERIALS TODAY, 2020, 卷号: 21, 页码: 8
作者:  Li, X.;  Wei D(魏丹);  Zhang, J. Y.;  Liu, X. D.;  Li, Z.;  Wang, T. Y.;  He, Q. F.;  Wang YJ(王云江);  Ma, J.;  Wang, W. H.;  Yang, Y.
Adobe PDF(2345Kb)  |  收藏  |  浏览/下载：396/128  |  提交时间：2021/03/03
Metallic glass  Ultrasound agitated super-plasticity  Room temperature deformation  Atomic-scale dilations  Dynamic heterogeneity  
"Self-sharpening" tungsten high-entropy alloy 期刊论文
ACTA MATERIALIA, 2020, 卷号: 186, 页码: 257-266
作者:  Liu XF(刘兴发);  田智立1,2);  Zhang XF;  Chen HH;  Liu TW(刘天威);  Chen Y(陈艳);  Wang YJ(王云江);  Dai LH(戴兰宏)
Adobe PDF(4929Kb)  |  收藏  |  浏览/下载：509/217  |  提交时间：2020/05/18
High-entropy alloy  Tungsten alloy  Self-sharpening  Shear band  Dynamic recrystallization  
Mapping internal deformation fields in 3D printed porous structure with digital volume correlation 期刊论文
POLYMER TESTING, 2019, 卷号: 78, 页码: 9
作者:  Wang B;  Sun LJ(孙立娟);  Pan B
Adobe PDF(4114Kb)  |  收藏  |  浏览/下载：239/101  |  提交时间：2020/03/11
3D printed porous structure  Digital volume correlation  X-ray tomographic imaging  
Effect of Rise and Fall Time on Dwell Fatigue Behavior of a High Strength Titanium Alloy 期刊论文
METALS, 2019, 卷号: 9, 期号: 8, 页码: 7
作者:  Song QY(宋清源);  Li, YQ;  Wang, L;  Huang, RX;  Sun CQ(孙成奇)
浏览  |  Adobe PDF(2200Kb)  |  收藏  |  浏览/下载：324/131  |  提交时间：2019/10/21
dwell fatigue  fatigue life  effect of rise and fall time  effect of specimen shape  high strength titanium alloy  
Machine learning assisted design of high entropy alloys with desired property 期刊论文
ACTA MATERIALIA, 2019, 卷号: 170, 页码: 109-117
作者:  Wen C;  Zhang Y;  Wang CX;  Xue DZ;  Bai Y;  Antonov S;  Dai LH(戴兰宏);  Lookman T;  Su YJ
浏览  |  Adobe PDF(4895Kb)  |  收藏  |  浏览/下载：1381/835  |  提交时间：2019/06/10
Multi-principal element alloys  Active learning  Machine learning  Materials genome initiative