4.6 Article

A Sharp Computational Method for the Simulation of the Solidification of Binary Alloys

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

  1. ONR [N00014-11-1-0027]
  2. NSF CHE [1027817]
  3. W.M. Keck Foundation
  4. UCSB
  5. NSF DMREF [DMR 1233704]
  6. Direct For Mathematical & Physical Scien [1027817] Funding Source: National Science Foundation
  7. Division Of Chemistry [1027817] Funding Source: National Science Foundation

向作者/读者索取更多资源

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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