Hongchun Shang

发表

Low cycle fatigue stress-strain relation model of cyclic hardening or cyclic softening materials

Hongchun Shang, Hao-jiang Ding, H. Ding, 1996 .

Strain hardening under large deformation for AA5182

A. Tekkaya, Qi Zhang, T. Clausmeyer, 2020, IOP Conference Series: Materials Science and Engineering.

Machine learning-based modeling of the coupling effect of strain rate and temperature on strain hardening for 5182-O aluminum alloy

Y. Lou, Pengfei Wu, Hongchun Shang, 2022, Journal of Materials Processing Technology.

Strain Hardening of AA5182-O Considering Strain Rate and Temperature Effect

Y. Lou, Pengfei Wu, Hongchun Shang, 2021, Forming the Future.

Analysis of electric pulse-assisted forming based on neural network plastic evolution model

Hongchun Shang, Songchen Wang, Can Zhou, 2024, CIRP Journal of Manufacturing Science and Technology.

Neural network-based ductile fracture model for 5182-O aluminum alloy considering electroplastic effect in electrically-assisted processing

Liucheng Zhou, Y. Lou, Hongchun Shang, 2023, Engineering Fracture Mechanics.

Neural network based rYld2004 anisotropic hardening model under non-associated flow rule for BCC and FCC metals

Hongchun Shang, Songchen Wang, Can Zhou, 2024, International Journal of Solids and Structures.

Study on electric pulse-assisted plastic deformation behavior of 5182-O aluminum alloy

Hongchun Shang, Songchen Wang, Yanshan Lou, 2024, IOP Conference Series: Materials Science and Engineering.

Lode-dependent Yld91 function for anisotropic-asymmetric hardening modeling of metals under non-associated flow rule

Hongchun Shang, Songchen Wang, Can Zhou, 2024, Journal of Materials Processing Technology.

Multi-scale numerical investigation of deep drawing of 6K21 aluminum alloy by crystal plasticity and a stress-invariant based anisotropic yield function under non-associated flow rule

Y. Lou, Hongchun Shang, Songcheng Wang, 2023, Journal of Manufacturing Processes.