Using Digital Image Correlation Measurements for the Inverse Identification of Constitutive Material Parameters applied in Metal Cutting Simulations

An inverse identification of material parameters has the potential to increase the quality of Finite Element-simulations in metal cutting. Since basic data for the calculations are measured under the thermomechanical load in a cutting situation, extrapolation errors can be reduced. Difficulties arise from the determination of the mechanical load inside the material during chip formation. Most methods use a chip-root-analysis, which is a post-process procedure. This paper presents a newly developed inverse method, applying optical measurements analyzed with a Digital Image Correlation (DIC) technique. In this way the shear strain rate is determined at cutting speeds and load conditions significant for industrial applications. (C) 2019 The Authors. Published by Elsevier B.V.