Abstract
The paper presents a novel thermomechanically coupled distributed primary deformation zone model to assist the inverse identification of Johnson-Cook material parameters to be used for machining simulations. A special feature of the enhanced model is that the assumed stress field is temperature-dependent, where the thermomechanical coupling governs the stress and temperature distributions across the primary shear zone to describe the thermal softening effect. By using stress, strain, strain rate, and temperature distributions from the thermomechanically enhanced model, Johnson-Cook material parameters are calibrated for orthogonal cutting tests of C38, 42CrMo4, and AA6082 materials where continuous chip formation prevails. The performance of the parameters is compared with that of a wider set of cutting tests using finite element simulations. The results show that the thermomechanically motivated model yields closer results to experiments in terms of cutting force and chip thickness (9% and 34% difference, respectively) compared with the original thermally uncoupled model (47% and 92% difference, respectively). Identification of the material parameters by this method focuses directly on the orthogonal cutting test and it does not require many experiments or simulations. In fact, the proposed methodology is computationally robust and cost-efficient which makes it preferable compared with other methods which are more accurate but highly time-consuming.
Highlights
Today, modeling and simulation play an imperative role in metal cutting research and development
To see the overall performance of the identification process presented in this study, the JC parameters obtained for C38 from both original and enhanced distributed primary zone deformation (DPZD) models are compared with experimental data, and identified JC parameters for 42CrMo4 and AA6082 are compared with the JC parameters available in the literature
Eq 8 is the effective stress calculated from DPZD model and f = σe is the consistent JC flow stress computed from the assumed shear strain rate (2), shear strain (5), and temperature distributions (12)
Summary
Today, modeling and simulation play an imperative role in metal cutting research and development. The flow stress data obtained from these tests are typically used to calibrate proper constitutive models for metal cutting simulation [1,2,3,4,5] These methods are subjected to some limitations. The authors used the distribution of the state variables (i.e., stress, strain, strain rate, and temperature) across the primary shear zone to estimate the Johnson-Cook (JC) material parameters for different steels. To see the overall performance of the identification process presented in this study, the JC parameters obtained for C38 from both original and enhanced DPZD models are compared with experimental data, and identified JC parameters for 42CrMo4 and AA6082 are compared with the JC parameters available in the literature.
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have