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Plastic deformation induced strong and stable nanograined face-centered cubic Co 期刊论文
ACTA MATERIALIA, 2025, 卷号: 286, 页码: 11
作者:  Qi, Y. W.;  Luo, Z. P.;  Zhang, B.;  Li, X. Y.
收藏  |  浏览/下载：3/0  |  提交时间：2025/04/27
Cobalt  Nanograined metal  Deformation mechanism  Thermal stability  Phase transformation  
Plastic deformation induced strong and stable nanograined face-centered cubic Co 期刊论文
ACTA MATERIALIA, 2025, 卷号: 286, 页码: 11
作者:  Qi, Y. W.;  Luo, Z. P.;  Zhang, B.;  Li, X. Y.
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Cobalt  Nanograined metal  Deformation mechanism  Thermal stability  Phase transformation  
Thermal deformation behaviors, mechanisms, and microstructure evolution of laminate CNT/2009Al composite 期刊论文
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2025, 卷号: 35, 页码: 953-964
作者:  Li, P. Y.;  Li, X. N.;  Ma, K.;  Liu, Z. Y.;  Xiao, B. L.;  Ma, Z. Y.
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
CNT/Al composite  Thermal deformation  Constitutive equation  Finite element modeling  
Thermal deformation behaviors, mechanisms, and microstructure evolution of laminate CNT/2009Al composite 期刊论文
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2025, 卷号: 35, 页码: 953-964
作者:  Li, P. Y.;  Li, X. N.;  Ma, K.;  Liu, Z. Y.;  Xiao, B. L.;  Ma, Z. Y.
收藏  |  浏览/下载：3/0  |  提交时间：2025/04/27
CNT/Al composite  Thermal deformation  Constitutive equation  Finite element modeling  
Creep anisotropy of a low-cost third generation single crystal superalloy at 760 °C and 1120 °C 期刊论文
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2025, 卷号: 922, 页码: 15
作者:  Guan, Q. Y.;  Li, Y. M.;  Wang, X. G.;  Chu, Z. K.;  Tan, Z. H.;  Liang, Z. Y.;  Tao, X. P.;  Yang, Y. H.;  Liu, J. L.;  Liu, J. D.;  Zhang, C. H.;  Zhang, S.;  Li, J. G.;  Zhou, Y. Z.;  Sun, X. F.
收藏  |  浏览/下载：4/0  |  提交时间：2025/04/27
Nickel-based single crystal superalloys  Low cost  Creep properties  Anisotropy  Microtwins  
A fracture mechanics model for gradient-structured materials 期刊论文
ENGINEERING FRACTURE MECHANICS, 2025, 卷号: 313, 页码: 10
作者:  Li, X. T.;  Zhao, J. F.;  Zhang, Z. J.;  Zhang, P.;  Zhang, Z. F.
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Gradient structure  Fracture mechanics  Toughness  Grain size  Crack growth  
Enhanced ductility and thermal stability of TZM alloys via nanoscale second phase (vol 918, 147454, 2024) 期刊论文
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2025, 卷号: 920, 页码: 1
作者:  Wang, F. Z.;  Zhang, Z.;  Gao, X. Y.;  Qiao, S. C.;  Wen, X.;  Xia, Z. K.;  Li, N.;  Young, X. P.;  Yuan, C.
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
Study on the 2D equivalent nonlinear dynamics simulation model related to high speed precision bearing and spindle 期刊论文
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2024, 卷号: 91, 页码: 358-371
作者:  Li, J. B.;  Tian, J. Y.;  Su, H. P.;  Bian, C. X.;  Xia, Y. F.;  Liu, T. Y.;  Chen, X. J.;  Wang, P.;  Li, D. Z.
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Bearing spindle system  High speed  2D equivalent model  Dynamic  Stiffness  Contact stress  
Enhanced ductility and thermal stability of TZM alloys via nanoscale second phase 期刊论文
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2024, 卷号: 918, 页码: 12
作者:  Wang, F. Z.;  Zhang, Z.;  Gao, X. Y.;  Qiao, S. C.;  Wen, X.;  Xia, Z. K.;  Li, N.;  Young, X. P.;  Yuan, C.
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
Mo alloys  Thermal stability  Mechanical properties  Microstructure  Nanoscale second phase  
Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review 期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2024, 卷号: 198, 页码: 111-136
作者:  Wang, H.;  Gao, S. L.;  Wang, B. T.;  Ma, Y. T.;  Guo, Z. J.;  Zhang, K.;  Yang, Y.;  Yue, X. Z.;  Hou, J.;  Huang, H. J.;  Xu, G. P.;  Li, S. J.;  Feng, A. H.;  Teng, C. Y.;  Huang, A. J.;  Zhang, L. -C.;  Chen, D. L.
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Fatigue  Additive manufacturing  Metallic alloys  Machine learning