Full field modeling of recrystallization and grain growth thanks to a level set approach: towards modeling by industry

Abstract : Metal forming modeling can be predictive only if the strain rate, strain and temperature dependency of the flow behaviour are correctly described. The mechanical properties and behaviour of metallic materials mainly depends on the content and structure of dislocation network, this points out the need to incorporate microstructure concepts into the numerical models. The goal is to correctly describe the main physical mechanisms occurring in metals during thermomechanical processes i.e. work-hardening, recovery, grain boundary migration, nucleation and grain growth related to dynamic, static or metadynamic recrystallization. Macroscopic and homogenized models are widely used in the industry, mainly due to their low computational cost. If this mean field framework is quite convenient, it can be synonymous, for a given material, with a large amount of experiments with advanced laboratory devices. Moreover, the homogenization of the microstructure does not permit to capture some very local phenomena.
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  • HAL Id : hal-01327920, version 1

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Marc Bernacki, Benjamin Scholtes, Amico Settefrati, Nathalie Bozzolo, Charbel Moussa, et al.. Full field modeling of recrystallization and grain growth thanks to a level set approach: towards modeling by industry. MATCH Newsletter, 2016. ⟨hal-01327920⟩

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