Assessment of simplified 2D grain growth models from numerical experiments based on a level set framework

Abstract : In this paper, the results of a 2D full field grain growth model are compared with several 2D mean field grain growth models (Burke and Turbull model and Hillert/Abbruzzese model), using simplified assumptions of isotropic grain boundary energy and mobility, and under the absence of precipitates. The full field model is based on a finite element formulation combined with a level set framework, used to describe the granular structure, and model grain boundary motion through a diffusion formulation. The initial digital microstructures are created using a coupled "Voronoï-Laguerre/dense sphere packing" algorithm, which allows to obey different types of initial grain size distributions, in the considered 2D context. The results show that only the Hillert/Abbruzzese model accurately describes grain growth kinetics for all considered grain size distributions. The validity of the Burke and Turnbull model is, on the contrary, restricted to specific distributions.
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Computational Materials Science, Elsevier, 2014, 92, pp.305-312. 〈10.1016/j.commatsci.2014.05.060〉
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Ana Laura Cruz-Fabiano, Roland E. Logé, Marc Bernacki. Assessment of simplified 2D grain growth models from numerical experiments based on a level set framework. Computational Materials Science, Elsevier, 2014, 92, pp.305-312. 〈10.1016/j.commatsci.2014.05.060〉. 〈hal-01023803〉

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