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题名Efficient computation of dendritic growth with r-adaptive finite element methods
作者
发表日期2008
发表期刊Journal of Computational Physics
ISSN/eISSN0021-9991
卷号227期号:12页码:5984-6000
摘要

This paper deals with the application of a moving grid method to the solution of a phase-field model for dendritic growth in two- and three-dimensions. A mesh is found as the solution of an optimization problem that automatically includes the boundary conditions and is solved using a multi-grid approach. The governing equations are discretized in space by linear finite elements and a split time-level scheme is used to numerically integrate in time. One novel aspect of the method is the choice of a regularized monitor function. The moving grid method enables us to obtain accurate numerical solutions with much less degree of freedoms. It is demonstrated numerically that the tip velocity obtained by our method is in good agreement with the previously published results. © 2008 Elsevier Inc. All rights reserved.

关键词Dendritic growth Finite element method Moving mesh method Phase-field model
DOI10.1016/j.jcp.2008.02.016
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收录类别SCIE
语种英语English
WOS研究方向Computer Science ; Physics
WOS类目Computer Science, Interdisciplinary Applications ; Physics, Mathematical
WOS记录号WOS:000256502100004
引用统计
被引频次:33[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/2108
专题个人在本单位外知识产出
通讯作者Tang, Tao
作者单位
1.Department of Mathematics, Zhejiang University, 310027 Hangzhou, China
2.Department of Mathematics, Hong Kong Baptist University, Kowloon Tong, Kowloon, Hong Kong
3.LMAM, School of Mathematical Sciences, Peking University, 100871 Beijing, China
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Wang, Heyu,Li, Ruo,Tang, Tao. Efficient computation of dendritic growth with r-adaptive finite element methods[J]. Journal of Computational Physics, 2008, 227(12): 5984-6000.
APA Wang, Heyu, Li, Ruo, & Tang, Tao. (2008). Efficient computation of dendritic growth with r-adaptive finite element methods. Journal of Computational Physics, 227(12), 5984-6000.
MLA Wang, Heyu,et al."Efficient computation of dendritic growth with r-adaptive finite element methods". Journal of Computational Physics 227.12(2008): 5984-6000.
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