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Mean-field models have the ability to predict grain size distributionevolution occurring through thermomechanical solicitations. This articlefocuses on a comparison of mean-field models under grain growth conditions.Different microstructure representations are considered and discussed,especially regarding the consideration of topology in the neighborhoodconstruction. Experimental data obtained with a heat treatment campaign on a316L austenitic stainless steel are used for material parameters identificationand as a reference for model comparisons. Mean-field models are also confrontedto both mono- and bimodal initial grain size distributions to investigate theinterest of introducing neighborhood topology in microstructure predictionsmodels. This article exposes that improvements in the predictions are obtainedin monomodal cases for topological models. In bimodal test, no comparison withexperimental data were performed as no data were available. But relativecomparisons between models indicate few differences in predictions. Theinterest of neighborhood topology in grain growth mean-field models givesoverall small improvements compared to classical mean-field models whencomparing implementation complexity.

Comparison of grain growth mean-field models regarding predicted grain size distributions