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Multi-scale material modelling to predict the material anisotropy of multi-phase steels AITranslate

KU Leuven, Department of Computer Science;KU Leuven, Department of Materials Engineering;KU Leuven, Department of Materials Engineering;KU Leuven, Department of Computer Science;KU Leuven, Department of Computer Science
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Publisher: Elsevier
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Abstract AITranslate

Highlights • Development of a novel multi-scale modelling approach for multi-phase steels. • Derivation of micro-scale plastic potential functions of FCC/BCC single crystals. • Validation via numerical-experimental comparison of tensile and diffraction tests. • Good correspondence of the homogenized stress-strain and the lattice strain curves. • Yield locus prediction of multi-phase materials through microstructural simulations. 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 multi-phase material is also presented. Graphical abstract Download : Download high-res image (241KB) Download : Download full-size image

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DOI:https://doi.org/10.1016/j.commatsci.2019.01.028

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Citation Information:

Highlights • Development of a novel multi-scale modelling approach for multi-phase steels. • Derivation of micro-scale plastic potential functions of FCC/BCC single crystals. • Validation via numerical-experimental comparison of tensile and diffraction tests. • Good correspondence of the homogenized stress-strain and the lattice strain curves. • Yield locus prediction of multi-phase materials through microstructural simulations. 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 multi-phase material is also presented. Graphical abstract Download : Download high-res image (241KB) Download : Download full-size image

quote

GB/T 7714-2015 [1] Sathish Kumar Ravi, Marc Seefeldt, Albert Van Bael, et al. Computational Materials Science, 2019(160). DOI:10.1016/j.commatsci.2019.01.028.
MLA [1] Sathish Kumar Ravi, et al., Computational Materials Science, no. 160, 2019, https://doi.org/10.1016/j.commatsci.2019.01.028.
APA [1] Sathish Kumar Ravi, Marc Seefeldt, Albert Van Bael, Jerzy Gawad, & Dirk Roose. (2019). Computational Materials Science(160). https://doi.org/10.1016/j.commatsci.2019.01.028
IEEE [1] Sathish Kumar Ravi, Marc Seefeldt, Albert Van Bael, Jerzy Gawad, and Dirk Roose, Computational Materials Science, no. 160, 2019, doi: 10.1016/j.commatsci.2019.01.028.