Aluminum alloys are lightweight and suitable for reducing the weight of automotive components. Efficient plastic forming processing of aluminum alloys requires the prediction of deformation behavior during the plastic forming process through a finite element (FE) simulation. To accurately predict the deformation behavior using the FE simulation, it is necessary to estimate the parameters of elastoplastic constitutive models. Conventional methods for identifying parameters in elastoplastic constitutive models require multiple material tests, as it is necessary to measure the deformation behavior under various stress states that occur during actual press forming. However, multiple tests take a significant amount of time. In this study, we developed a method to estimate the parameters of elastoplastic constitutive models using the result of a single biaxial tensile test. A non-conventional specimen was employed in the biaxial tensile test to generate inhomogeneous distributions of strain on the specimen. By integrating the inhomogeneous measured distributions of strain into the FE simulation through Bayesian data assimilation, the parameters of the elastoplastic constitutive model were accurately estimated.
SHIMAOKA et al. (Wed,) studied this question.