نبذة مختصرة : The relation among process, microstructure, properties, and performance of materials is of great interest to the metal forming industries. The microstructure-properties relationship has opened an exciting branch of materials science called Grain Boundary Engineering: control the grain boundary character distribution to promote specific materials properties. The manufacturing process of metals can be modeled at the mesoscopic scale using numerical tools that describe the evolution of grain boundaries. The Level-Set (LS) approach in the context of Finite Element (FE) formulations remains a powerful tool that allows mimicking industrial thermomechanical treatments where large deformation can take place.This work aims to improve the FE-LS framework by including enriched grain boundary energy and mobility models and applies the enriched framework to the simulation of grain growth and recrystallization in a single phase austenitic steel. Accounting for the heterogeneity or the anisotropy of GB properties is necessary if special boundaries or subgrains have to be considered. The improvement of the GB property models was incorporated in different FE-LS formulations using additional terms in the existing kinetic framework. Noteworthily, the current knowledge of GB property data and models still suffers from the lack of relevant and accurate experimental data. The complete description of GB properties calls for high spatial three-dimensional microstructure analysis, and for temporal evolution under given thermomechanical conditions, which remains unattainable with the state-of-the-art techniques.Based on partial experimental data acquired in this work, existing molecular dynamics data, triple junction test cases and polycrystalline simulations, it was confirmed that the Anisotropic formulation was the most physical formulation. Nevertheless, when low levels of heterogeneity/anisotropy are involved in the considered microstructure, the isotropic formulation can be used safely in grain growth and recrystallization ...
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