A novel multiscale computational methodology for numerical material testing based on finite element polycrystal model

In this paper, a novel computational procedure for numerical material testing method based on a strain rate-independent crystal plasticity model and an optimization scheme is presented. In order to simulate deformation of materials that exhibit mechanical anisotropy with high accuracy, it is necessary to apply material models that include many material parameters. Therefore, if difficult-to-perform material tests such as biaxial tests can be replaced by numerical material tests, the cost and time required for experiments can be significantly reduced. The proposed method was developed using a crystal plasticity-based finite element model, known as finite element polycrystal model (FEPM), and an optimization scheme based on a genetic algorithm (GA) for microscopic parameters. FEPM is a model that performs analysis while determining the activity of all slip systems without using the strain rate-dependent constitutive law that is commonly used and is suitable for numerical material testing because it has less physical ambiguity. In the optimization process, deformation anisotropy is related to the grain orientation expressed by the Euler angle, and yield stress anisotropy is related to the work-hardening coefficients of the slip system. In addition, by generating pseudo-anisotropic crystal orientation by numerical rolling, the need for crystal orientation observation is eliminated. In this paper, after giving a description of the proposed method, experimental verifications on aluminum alloys to prove the effectiveness of the proposed method are presented.