2020/05/14 by Arthur Després, Després, Arthur, Michael T. Greenwood +3
Engineering · Materials Science · #Aluminum Alloy Microstructure Properties #Crystallization and Solubility Studies #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Metallurgy and Material Forming
paper · pdf · doi:10.48550/arxiv.2005.07230
openalex publication_date 2020/05/14 · openalex created_date 2025/10/24 · openalex updated_date 2026/07/28
In this paper, we develop a mean-field model for simulating the\nmicrostructure evolution of crystalline materials during static\nrecrystallization. The model considers a population of individual cells (i.e.\ngrains and subgrains) growing in a homogeneous medium representing the average\nmicrostructure properties. The average boundary properties of the individual\ncells and of the medium, required to compute growth rates, are estimated\nstatistically as a function of the microstructure topology and of the\ndistribution of crystallographic orientations. Recrystallized grains arise from\nthe competitive growth between cells. After a presentation of the algorithm,\nthe model is compared to full-field simulations of recrystallization performed\nwith a 2D Vertex model. It is shown that the mean-field model predicts\naccurately the evolution of boundary properties with time, as well as several\nrecrystallization parameters including kinetics and grain orientations. The\nresults allow one to investigate the role the orientation spread on the\ndetermination of boundary properties, the formation of recrystallized grains\nand recrystallization kinetics. The model can be used with experimentally\nobtained inputs to investigate the relationship between deformation and\nrecrystallization microstructures.\n