HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Engineering / Faculty of Engineering >
Peer-reviewed Journal Articles, etc >

Solidification in a Supercomputer: From Crystal Nuclei to Dendrite Assemblages

This item is licensed under:Creative Commons Attribution 4.0 International

Files in This Item:
Ohno-JOM67(8).pdf4.91 MBPDFView/Open
Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/59773

Title: Solidification in a Supercomputer: From Crystal Nuclei to Dendrite Assemblages
Authors: Shibuta, Yasushi Browse this author
Ohno, Munekazu Browse this author →KAKEN DB
Takaki, Tomohiro Browse this author
Issue Date: Aug-2015
Publisher: Springer
Journal Title: JOM
Volume: 67
Issue: 8
Start Page: 1793
End Page: 1804
Publisher DOI: 10.1007/s11837-015-1452-2
Abstract: Thanks to the recent progress in high-performance computational environments, the range of applications of computational metallurgy is expanding rapidly. In this paper, cutting-edge simulations of solidification from atomic to microstructural levels performed on a graphics processing unit (GPU) architecture are introduced with a brief introduction to advances in computational studies on solidification. In particular, million-atom molecular dynamics simulations captured the spontaneous evolution of anisotropy in a solid nucleus in an undercooled melt and homogeneous nucleation without any inducing factor, which is followed by grain growth. At the microstructural level, the quantitative phase-field model has been gaining importance as a powerful tool for predicting solidification microstructures. In this paper, the convergence behavior of simulation results obtained with this model is discussed, in detail. Such convergence ensures the reliability of results of phase-field simulations. Using the quantitative phase-field model, the competitive growth of dendrite assemblages during the directional solidification of a binary alloy bicrystal at the millimeter scale is examined by performing two-and three-dimensional large-scale simulations by multi-GPU computation on the supercomputer, TSUBAME2.5. This cutting-edge approach using a GPU supercomputer is opening a new phase in computational metallurgy.
Rights: http://creativecommons.org/licenses/by/4.0/
Type: article
URI: http://hdl.handle.net/2115/59773
Appears in Collections:工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 大野 宗一

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 

 - Hokkaido University