LARGE-SCALE MULTI-PHASE-FIELD SIMULATION OF POLYCRYSTALLINE GRAIN GROWTH WITH ANISOTROPIC GRAIN BOUNDARY PROPERTIES

19 Jun 2019, 11:30
20m
P4 (IMLAUER HOTEL PITTER SALZBURG)

P4

IMLAUER HOTEL PITTER SALZBURG

Rainerstraße 6, 5020 Salzburg, Austria
Oral Presentation Dendritic microstructure

Speaker

Eisuke Miyoshi (Kyoto Institute of Technology)

Description

Grain growth, a competitive growth of crystal grains that occurs after or simultaneously with solidification, is one of the most important phenomena in controlling the microstructure of polycrystalline materials. The fundamental process underlying grain growth is the migration of grain boundaries; thus, the growth behavior is largely dominated by the properties (energy and mobility) of grain boundaries. In real materials, these properties usually exhibit strong anisotropies depending on the boundary structures. Over the past few decades, many researchers have attempted to elucidate the effects of the anisotropies of the boundary properties on grain growth by performing numerical simulations. However, conclusive knowledge is not yet established especially for three-dimensional systems, mainly due to the limitations in the computational accuracy of the grain growth models and computer resources that have been employed so far. To address the above issues, based on the multi-phase-field (MPF) grain growth model [I. Steinbach and F. Pezzolla, Physica D (1999) 385], this study proposes a novel numerical scheme to accurately handle the anisotropic grain boundary properties. Furthermore, the MPF simulations are drastically accelerated by parallelizing multiple graphics processing units (GPUs) on a GPU-rich supercomputer. Using these techniques, we perform a series of large-scale simulations on anisotropic grain growth, through which the effects of the anisotropic grain boundary properties on the growth behaviors are elucidated in detail.
Speaker Country Japan

Author

Eisuke Miyoshi (Kyoto Institute of Technology)

Co-authors

Prof. Munekazu Ohno (Hokkaido University) Mr Shinji Sakane (Kyoto Institute of Technology) Prof. Takayuki Aoki (Tokyo Institute of Technology) Prof. Tomohiro Takaki (Kyoto Institute of Technology) Prof. Yasushi Shibuta (The University of Tokyo)

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