The coupling effects of electrical pulse,temperature,strain rate,and strain on the flow behavior and plasticity of 5182-O aluminum alloy were investigated and characterized.The isothermal tensile test and electrically-assisted isothermal tensile test were performed at the same temperature,and three typical models were further embedded in ABAQUS/Explicit for numerical simulation to illustrate the electroplastic effect.The results show that electric pulse reduces the deformation resistance but enhances the elongation greatly.The calibration accuracy of the proposed modified Lim-Huh model for highly nonlinear and coupled dynamic hardening behavior is not much improved compared to the modified Kocks-Mecking model.Moreover,the artificial neural network model is very suitable to describe the macromechenical response of materials under the coupling effect of different variables.
关键词
机器学习/铝合金/电塑性效应/耦合效应/有限元分析
Key words
machine learning/aluminium alloy/electroplastic effect/coupling effect/finite element analysis
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基金项目
National Natural Science Foundation of China(52075423)
National Natural Science Foundation of China(U2141214)
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