Inverse Material Characterization through Finite Element Simulation of Material Tests and Numerical Optimization

摘要

This paper presents a new method to characterize the material flow stress and failure models based on scratch test data. A group of parametric studies is first conducted to reveal the sensitivity of typical material responses in micro-scratch tests with respect to various materials constitutive and damage model parameters. The results were then used to guide the development of an inverse material characterization method by matching the finite element predictions with the corresponding test data. The simultaneous perturbation stochastic approximation (SPSA) algorithm was used for an efficient parameter search. The method was implemented to the identification of the Johnson-Cook (J-C) constitutive and damage model parameters for an aluminum alloy based on its micro-scratch tests conducted at room and elevated temperatures. The identification was validated with the morphological measurement of the scratches.