Phase-field simulation and mean-field study of grain growth
Reza Darvishi Kamachali, Max-Planck-Institut für Eisenforschung, Düsseldorf, Germany
Grain growth is a fundamental issue in polycrystalline materials altering their mechanical and functional properties. Although it occurs via local curvature-driven grain boundary migration, grain growth is a result of collective behavior of many grain boundaries connected through a network of triple junctions and vertexes. Today’s capacity for performing full-field simulations allows studying systems large enough to represent this collective behavior in details. In this work, large-scale multi-phase-field simulations of grain growth are performed. A self-similar regime for the grain size distribution is observed, far from Hillert’s classical distribution function. Based on a mean-field model, the general form of grain size distribution is derived that is shown to be determined only by the geometry of neighboring grains for any given configuration. An index 〈R〉^2/〈R^2 〉 is introduced and shown to be in a direct correlation with the mean-field parameter.
Session W1: Wednesday, 27 June 2018
End: 10:15 a.m.