Multi-GPUs parallel computation of dendrite growth in forced convection using the phase-field-lattice Boltzmann model

Shinji Sakane, Tomohiro Takaki, Roberto Rojas, Munekazu Ohno, Yasushi Shibuta, Takashi Shimokawabe, Takayuki Aoki

Research output: Contribution to journalArticlepeer-review

85 Scopus citations

Abstract

Melt flow drastically changes dendrite morphology during the solidification of pure metals and alloys. Numerical simulation of dendrite growth in the presence of the melt flow is crucial for the accurate prediction and control of the solidification microstructure. However, accurate simulations are difficult because of the large computational costs required. In this study, we develop a parallel computational scheme using multiple graphics processing units (GPUs) for a very large-scale three-dimensional phase-field-lattice Boltzmann simulation. In the model, a quantitative phase field model, which can accurately simulate the dendrite growth of a dilute binary alloy, and a lattice Boltzmann model to simulate the melt flow are coupled to simulate the dendrite growth in the melt flow. By performing very large-scale simulations using the developed scheme, we demonstrate the applicability of multi-GPUs parallel computation to the systematical large-scale-simulations of dendrite growth with the melt flow.

Original languageEnglish
Pages (from-to)154-159
Number of pages6
JournalJournal of Crystal Growth
Volume474
DOIs
StatePublished - 15 Sep 2017
Externally publishedYes

Keywords

  • A1. Computer simulation
  • A1. Convection
  • A1. Crystal morphology
  • A1. Dendrites

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