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Meeting 2024 TMS Annual Meeting & Exhibition
Symposium Algorithm Development in Materials Science and Engineering
Presentation Title Development of a Monte Carlo Potts Anisotropic Grain Growth Model That Considers GB Energy Dependence on Both Misorientation and Inclination
Author(s) Lin Yang, Vishal Yadav, Michael Tonks
On-Site Speaker (Planned) Lin Yang
Abstract Scope We have developed a Monte Carlo Potts model for anisotropic grain growth in SPPARKS to study the influence of misorientation and inclination on the grain boundary (GB) and triple junction (TJ) energy. The GB inclination is determined using a Linear smoothing algorithm. We compare the grain growth behavior under three distinct GB energy functions: a) energy as function of misorientation only; b) energy as function of inclination only; c) energy dependent on five degrees of freedom, including three from misorientation and two from inclination. The comparison extends across various initial grain structures, including 2D bicrystal with a circular grain, 2D tricrystal with a triple junction, 2D polycrystal, 3D bicrystal with a spherical grain, 3D tetracrystal with a quadruple junction, and 3D polycrystal. We found that anisotropic GB energy significantly influences the final microstructure.
Proceedings Inclusion? Planned:
Keywords Computational Materials Science & Engineering, Modeling and Simulation, ICME

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