|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Computational Design and Simulation of Materials (CDSM 2018): Meso/Macroscale Simulations
||Statistical Behavior of Ideal Grain Growth: An Ultra-large-scale Phase-field Simulation Study
||Eisuke Miyoshi, Tomohiro Takaki, Munekazu Ohno, Yasushi Shibuta, Shinji Sakane, Takashi Shimokawabe, Takayuki Aoki
|On-Site Speaker (Planned)
Grain growth is one of the most fundamental phenomena in controlling the microstructure of materials. For the last several decades, numerical studies on grain growth have been widely carried out to investigate the detail of the phenomenon. However, the true picture of grain growth is still controversial even for the simplest ideal case, which is mainly due to limitations in the computer resources and computational accuracy of numerical models. To address these issues, this study utilizes the multi-phase-field model and parallel GPU computing on a supercomputer, enabling accurate simulations of ideal grain growth in ultra-large-scale systems of up to 2,5603 grid points. Through the large-scale simulations, the true steady-state behavior of ideal grain growth is elucidated with statistically sufficient number of remaining grains. Moreover, we propose a comprehensive theoretical model capable of describing the simulated results.
||Planned: Supplemental Proceedings volume