期刊
JOURNAL OF SCIENTIFIC COMPUTING
卷 63, 期 2, 页码 330-354出版社
SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10915-014-9895-0
关键词
Solidification; Binary alloy; Dendritic growth; Sharp model; Stefan problem; Non-graded adaptive grid; Quadtree
资金
- ONR [N00014-11-1-0027]
- NSF CHE [1027817]
- W.M. Keck Foundation
- UCSB
- NSF DMREF [DMR 1233704]
- Direct For Mathematical & Physical Scien [1027817] Funding Source: National Science Foundation
- Division Of Chemistry [1027817] Funding Source: National Science Foundation
We present a numerical method for the simulation of binary alloys. We make use of the level-set method to capture the evolution of the solidification front and of an adaptive mesh refinement framework based on non-graded quadtree grids to efficiently capture the multiscale nature of the alloys' concentration profile. In addition, our approach is based on a sharp treatment of the boundary conditions at the solidification front. We apply this algorithm to the solidification of an Ni-Cu alloy and report results that agree quantitatively with theoretical analyses. We also apply this algorithm to show that solidification mechanism maps predicting growth regimes as a function of tip velocities and thermal gradients can be accurately computed with this method; these include the important transitions from planar to cellular to dendritic regimes.
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