Modeling and characterization on electroplastic effect during dynamic deformation of 5182-O aluminum alloy  

5182-O铝合金动态变形过程中电塑性效应的建模与表征

作　　者：Hong-chun SHANG Song-chen WANG Yan-shan LOU 尚宏春;王松臣;娄燕山(西安交通大学机械工程学院,西安710049)

机构地区：[1]School of Mechanical Engineering,Xi’an Jiaotong University,Xi’an 710049,China

出　　处：《Transactions of Nonferrous Metals Society of China》2024年第8期2455-2475,共21页中国有色金属学报（英文版）

基　　金：the financial supports from the National Natural Science Foundation of China(Nos.52075423,U2141214).

摘　　要：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.研究并表征电脉冲、温度、应变速率和应变耦合效应对5182-O铝合金流动行为和塑性的影响。在相同温度下进行等温拉伸试验和电辅助等温拉伸试验,并将3种典型模型嵌入ABAQUS/Explicit中进行数值模拟以阐明电塑性效应。结果表明,电脉冲能显著降低合金的变形抗力但提高伸长率。与修正的Kocks−Mecking模型相比,所提出的修正Lim−Huh模型对高度非线性动态硬化行为的标定精度无明显提高。此外,神经网络模型非常适合描述不同变量耦合作用下的宏观力学响应。

关 键 词：machine learning aluminium alloy electroplastic effect coupling effect finite element analysis 

分 类 号：TG146.21[一般工业技术—材料科学与工程]