Evaluation on prediction abilities of constitutive models considering FEA application

被引:7
作者
Wen Tong [1 ]
Liu Lan-tao [1 ]
Huang Qian [1 ]
Chen Xia [1 ]
Fang Ji-zhao [1 ]
机构
[1] Chongqing Univ, Coll Mat Sci & Engn, Chongqing 400044, Peoples R China
基金
中国国家自然科学基金;
关键词
constitutive model; metal forming; numerical simulation; performance; isothermal compression; AUSTENITIC STAINLESS-STEEL; ARTIFICIAL NEURAL-NETWORK; TEMPERATURE DEFORMATION-BEHAVIOR; MODIFIED ZERILLI-ARMSTRONG; MODIFIED JOHNSON-COOK; STRAIN-AGING REGIME; FLOW-STRESS; HOT DEFORMATION; ARRHENIUS-TYPE; 42CRMO STEEL;
D O I
10.1007/s11771-018-3822-8
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Constitutive model plays an important role in the numerical simulations of metal forming. However, the influence of the models on the calculation is vague. Based on the stress-strain data of Al 7050 and Ti-6Al-4V alloys generated by isothermal compressive tests, the Johnson-Cook (JC) and Arrhenius-type (A-type) hyperbolic sine models were fitted to obtain the constants. Flow stresses directly calculated by the equations were compared with the experiment results, and rigid-plastic finite element analyses (FEA) utilizing these models were employed to simulate the same compression processes. The results show that A-type model has higher accuracy in the direct prediction of flow stress, even outside of the fit domain. The simulation results using A-type model also have higher agreement with the experiment; however, the suitability is affected by the referential parameters employed in the regression process. In terms of the overall deformation and strain distributions, there are slight differences among the simulation results using these two models.
引用
收藏
页码:1251 / 1262
页数:12
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