期刊
COMPUTATIONAL MATERIALS SCIENCE
卷 160, 期 -, 页码 382-396出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.commatsci.2019.01.028
关键词
Multi-scale modelling; Multi-phase materials; Duplex steel; Representative volume elements; Plastic potential functions; Single crystal plasticity; Anisotropy; Yield locus
资金
- project Development, Monitoring and Prediction of Coupled Interactions in Material Durability Testing (DeMoPreCI-MDT) a part of SIM-Flanders, Belgium
In this article, a novel material modelling approach to predict the anisotropic material response of multi-phase steels is developed. The macroscopic material behaviour of the model is characterized by the homogenized response of a meso-scale Representative Volume Element (RVE), derived by Finite Element (FE) simulations. The RVE holds the most relevant microstructural features of the material under consideration, such as phase distribution, grain orientation, morphology etc., in sufficient detail, in order to capture the anisotropy and phase interactions. The micro-scale material models of individual phases are described with specific plastic potential functions, the components of which are derived from Crystal Plasticity (CP) laws. The plastic potential functions are constructed using the Facet method for each phase in the microstructure at the level of single grains, and are used in conjuncture with phase specific, isotropic grain hardening laws. The proposed model is evaluated through numerical experiments performed on a synthetic microstructure of Duplex steel, constructed from statistical material parameters extracted from literature. The RVE flow curves depicted very good correspondence with the experimental data reported for the same grade of Duplex Stainless Steel. The anisotropy prediction was further assessed through comparison between virtual diffraction experiments performed on the statistical microstructure and the actual Neutron Diffraction (ND) experimental data of the reference material. It was found that the model captured the overall trend of the diffraction curves for the individual phases with good accuracy, but obtaining an exact correspondence to the experimental values was not feasible with the performed simulations on statistical microstructures. Finally, an approach to predict the anisotropic yield locus of a multiphase material is also presented.
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