GPU-accelerated 3D phase-field simulations of dendrite competitive growth during directional solidification of binary alloy
Creators
- 1. Graduate School of Science and Technology, Kyoto Institute of Technology (Japan)
- 2. Graduate School of Engineering, Hokkaido University (Japan)
- 3. Global Scientific Information and Computing Center, Tokyo Institute of Technology (Japan)
Description
Phase-field method has emerged as the most powerful numerical scheme to simulate dendrite growth. However, most phase-field simulations of dendrite growth performed so far are limited to two-dimension or single dendrite in three-dimension because of the large computational cost involved. To express actual solidification microstructures, multiple dendrites with different preferred growth directions should be computed at the same time. In this study, in order to enable large-scale phase-field dendrite growth simulations, we developed a phase-field code using multiple graphics processing units in which a quantitative phase-field method for binary alloy solidification and moving frame algorithm for directional solidification were employed. First, we performed strong and weak scaling tests for the developed parallel code. Then, dendrite competitive growth simulations in three-dimensional binary alloy bicrystal were performed and the dendrite interactions in three-dimensional space were investigated. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/84/1/012063Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 84
- Journal Issue
- 1
- Journal Page Range
- [7 p.]
- ISSN
- 1757-899X
Conference
- Title
- 14. international conference on modelling of casting, welding and advanced solidification processes
- Acronym
- MCWASP XIV
- Dates
- 21-26 Jun 2015
- Place
- Awaji island, Hyogo (Japan)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47099223
- Subject category
- S36: MATERIALS SCIENCE;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; BINARY ALLOY SYSTEMS; CRYSTAL GROWTH; DENDRITES; INTERACTIONS; MICROSTRUCTURE; SIMULATION; SOLIDIFICATION; THREE-DIMENSIONAL CALCULATIONS
- Descriptors DEC
- ALLOY SYSTEMS; CRYSTALS; MATHEMATICAL LOGIC; PHASE TRANSFORMATIONS