ICAMS / Interdisciplinary Centre for Advanced Materials Simulation


Micromechanical modelling of the cyclic deformation behavior of martensitic SAE 4150—a comparison of different kinematic hardening models

B. J. Schäfer, X. Song, P. Sonnweber-Ribic, H. u. Hassan, A. Hartmaier.

Metals, 9, 368, (2019)

Prediction of different mean stress behavior for a martensitic material under cyclic loading using crystal plasticity finite element method and different kinematic hardening models

A fundamental prerequisite for the micromechanical simulation of fatigue is the appropriate modelling of the effective cyclic properties of the considered material. Therefore, kinematic hardening formulations on the slip system level are of crucial importance due to their fundamental relevance in cyclic material modelling. The focus of this study is the comparison of three different kinematic hardening models (Armstrong Frederick, Chaboche, and Ohno–Wang). In this work, investigations are performed on the modelling and prediction of the cyclic stress-strain behavior of the martensitic high-strength steel SAE 4150 for two different total strain ratios (R ε = −1 and R ε = 0). In the first step, a three-dimensional martensitic microstructure model is developed by using multiscale Voronoi tessellations. Based on this martensitic representative volume element, micromechanical simulations are performed by a crystal plasticity finite element model. For the constitutive model calibration, a new multi-objective calibration procedure incorporating a sensitivity analysis as well as an evolutionary algorithm is presented. The numerical results of different kinematic hardening models are compared to experimental data with respect to the appropriate modelling of the Bauschinger effect and the mean stress relaxation behavior at Rε = 0. It is concluded that the Ohno–Wang model is superior to the Armstrong Frederick and Chaboche kinematic hardening model at Rε =−1 as well as at Rε = 0.

Cite as: https://www.mdpi.com/2075-4701/9/3/368
DOI: 10.3390/met9030368
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