International audienceThis paper describes a level set framework for the full field modeling of dynamic and post-dynamic recrystallization in a 3D polycrystalline material with an accurate description of grains topology at large deformation and application to 304L austenitic stainless steel. Topological evolutions are simulated based on a kinetic law linking the velocity of the boundaries to the thermodynamic driving forces. Recrystallization is modeled by coupling a level set approach to phenomenological laws describing strain hardening mechanism and nucleation criteria. Although the proposed formalism does not consider crystal plasticity because of its computational costs, it enables to reach outstanding dynamic recrystallization computations in a front-capturing finite element framework comparatively to the state of art
International audienceIn the present study, mean field models of grain growth (Hillert and Burke–Turnbull models) are compared with 3D full field simulations considering an isotropic grain boundary energy and mobility and under the absence of second-phase particles. The present 3D full field simulations are based on a level set description of the grain interfaces within a finite element framework. The digital initial microstructures are generated using a coupled “Voronoï–Laguerre/dense sphere packing” algorithm. Based on full field simulation results, new formulations of Burke–Turnbull and Hillert models are proposed. In contrast with classical formulations, the new ones account for the possible heterogeneity of the initial grain size distribution
Mechanical and functional properties of Oxide Dispersion Strengthened (ODS) ferritic/ martensitic steels are strongly related to their microstructures. Thus, numerical modeling of microstructure evolution during ODS forming is of prime importance. In this work, two well-known full field methodologies dedicated to recrystallization modeling, the level-set and the Monte Carlo methods, are applied, discussed and compared to experimental data in their ability to describe properly recrystallization for ODS steels.
de Micheli, et al.. A new topological approach for the mean field modeling of dynamic recrystallization. Materials and Design, Elsevier, 2018, 146, pp.194-207. 10 is based on a more precise description of the immediate vicinity and of the shape of each grain to describe microstructural evolution all along the hot deformation process.Results provided by the new model are compared to those of a former mean field formulation and those of a full field model with an explicit description of the microstructure.The predictions of the new model in terms of recrystallization kinetics and grain size distributions are satisfactory and the progress when compared to former mean field models is obvious. Furthermore, the limitation of mean field models concerning the non-realistic shape of grain size distributions has been solved in this new formulation.
Recently, an original full field model working at the mesoscopic scale using the level set (LS) method in a finite element (FE) framework has been introduced. This approach has demonstrated its potential for the simulation of grain growth and recrystallization problems. Through the development of the DIGIMU® software, this methodology is now considered for industrial applications. The paper presents (i) the recent developments made on the LS approach and (ii) some examples of large scale simulations in two and three dimensions considering thermal treatments applied on materials. Grain boundaries motion considering the presence or not of second phase particles (like precipitates) are investigated.
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