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A Numerical Multi-Scale Model to Predict Macroscopic Material Anisotropy of Multi-Phase Steels

By Sathish Kumar Ravi (KU Leuven - Dept. Computer Science)
Co-authors: Jerzy Gawad (KU Leuven - Dept. Computer Science)
Marc Seefeldt (KU Leuven - Dept. MTM)
Albert Van Bael (KU Leuven - Dept. MTM)
Dirk Roose (KU Leuven - Dept. Computer Science)


A numerical multi-scale model is developed to predict the anisotropic macroscopic material response of multi-phase steel. The embedded microstructure is given by a meso-scale Representative Volume Element (RVE)*, which holds features such as phase fractions, grain morphology, their spatial distribution and orientations etc., in sufficient detail to describe the multi-phase behavior of the material. The elasto-plastic response of the individual grains is modeled using single crystal plasticity based plastic potential functions**. The meso-scale Finite Element (FE) RVE simulations are performed in Abaqus*** where stress/strain based boundary conditions can be imposed on the RVE. The ability of the multi-scale model to predict the anisotropic yield locus of multi-phase microstructures shall be presented. The evolution of texture is beyond the current framework. References: * Dream3D - Tool for 3D reconstruction of microstructures from EBSD and generation of synthetic microstructures from statistical data. ** Paul Van Houtte, Sampath Kumar Yerra and Albert Van Bael, The Facet Method: A hierarchical multilevel modelling scheme for anisotropic convex plastic potentials, International Journal of Plasticity, Vol 25, pp. 332-360, 2009. *** J. Gawad, A. Van Bael, P. Eyckens, G. Samaey, P. Van Houtte and D. Roose, Hierarchical multi-scale modeling of texture induced plastic anisotropy in sheet forming, Computational Materials Science, Vol 66, pp. 65-83, 2013.

Ⓒ Photos:Toerisme Leuven