Deep drawing simulation of AA6061-T6 considering plastic flow based on the CQN-Chen model

In order to investigate the performance of CQN-Chen model to characterize anisotropic plastic evolution, the uniaxial tensile tests at 0^∘, 45^∘ and 90^∘ with respect to rolling direction (RD) and circular cup deep drawing test are respectively conducted for AA6061-T6 to reveal its anisotropic mechanical behavior and forming cup earing characterization. The capability of CQN-Chen model to describe the anisotropic hardening behavior of AA6061-T6 is illustrated by comparing the theoretical predicted values of CQN-Chen model with the experimental data. The back propagation neural network optimized by ant colony optimization algorithm is used to describe the r-value evolution in the numerical simulation, and the deep drawing of AA6061-T6 is simulated by considering the evolving r-value. The results show that the uniaxial tensile hardening curve and r-value of AA6061-T6 exhibit obviously anisotropy, and the difference between the true stress reaches 6.18 % at a plastic compliance factor of 0.08. Four earings are formed at 0^∘, 90^∘, 180^∘ and 270^∘ with respect to the RD in deep drawing experiment of circular cups, and the average earing rate is 9.43 %. The theoretical predicted values of CQN-Chen model are completely consistent with the experimental data of AA6061-T6, and the simulated earing profile is also in good agreement with the experimental value. This indicates that CQN-Chen model can accurately characterize the plastic flow and anisotropic hardening behavior of uniaxial tension at 0^∘, 45^∘ and 90^∘ with respect to RD and equi-biaxial tension, and the CQN-Chen model can be recommended to apply to the anisotropic plastic deformation simulation of components.