An efficient numerical method for the anisotropic phase field dendritic crystal growth model

被引:1
作者
Guo, Yayu [1 ,2 ]
Azaiez, Mejdi [1 ,2 ,3 ]
Xu, Chuanju [1 ,2 ]
机构
[1] Xiamen Univ, Sch Math Sci, Xiamen 361005, Peoples R China
[2] Xiamen Univ, Fujian Prov Key Lab Math Modeling & High Performa, Xiamen 361005, Peoples R China
[3] Univ Bordeaux, CNRS, I2M, UMR 5295, F-33400 Talence, France
来源
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2024年 / 131卷
基金
中国国家自然科学基金;
关键词
Dendritic crystal growth model; Anisotropy; Phase field; Numerical method; STABLE SCHEME; SIMULATIONS; SOLIDIFICATION; ACCURATE; ENERGY;
D O I
10.1016/j.cnsns.2024.107858
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we propose and analyze an efficient numerical method for the anisotropic phase field dendritic crystal growth model, which is challenging because we are facing the nonlinear coupling and anisotropic coefficient in the model. The proposed method is a two-step scheme. In the first step, an intermediate solution is computed by using BDF schemes of order up to three for both the phase -field and heat equations. In the second step the intermediate solution is stabilized by multiplying an auxiliary variable. The key of the second step is to stabilize the overall scheme while maintaining the convergence order of the stabilized solution. In order to overcome the difficulty caused by the gradient -dependent anisotropic coefficient and the nonlinear terms, some stabilization terms are added to the BDF schemes in the first step. The second step makes use of a generalized auxiliary variable approach with relaxation. The Fourier spectral method is applied for the spatial discretization. Our analysis shows that the proposed scheme is unconditionally stable and has accuracy in time up to third order. We also provide a sophisticated implementation showing that the computational complexity of our schemes is equivalent to solving two linear equations and some algebraic equations. To the best of our knowledge, this is the cheapest unconditionally stable schemes reported in the literature. Some numerical examples are given to verify the efficiency of the proposed method.
引用
收藏
页数:15
相关论文
共 32 条
  • [1] CAGINALP G, 1986, ARCH RATION MECH AN, V92, P205
  • [2] Chalmers B., 1970, Principles of solidification
  • [3] High order accurate and convergent numerical scheme for the strongly anisotropic Cahn-Hilliard model
    Cheng, Kelong
    Wang, Cheng
    Wise, Steven M.
    [J]. NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, 2023, 39 (05) : 4007 - 4029
  • [4] A weakly nonlinear, energy stable scheme for the strongly anisotropic Cahn-Hilliard equation and its convergence analysis
    Cheng, Kelong
    Wang, Cheng
    Wise, Steven M.
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 405
  • [5] Numerical Simulation of the Solidification of Pure Melt by a Phase-Field Model Using an Adaptive Computation Domain
    Ferreira, Alexandre Furtado
    Ferreira, Leonardo de Olive
    Assis, Abner da Costa
    [J]. JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2011, 33 (02) : 125 - 130
  • [6] Fix G.J., 1983, FREE BOUNDARY PROBLE, P580
  • [7] GLICKSMAN ME, 1989, NATO ADV SCI I B-PHY, P167
  • [8] Improving the accuracy and consistency of the scalar auxiliary variable (SAV) method with relaxation
    Jiang, Maosheng
    Zhang, Zengyan
    Zhao, Jia
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 456
  • [9] Quantitative phase-field modeling of dendritic growth in two and three dimensions
    Karma, A
    Rappel, WJ
    [J]. PHYSICAL REVIEW E, 1998, 57 (04): : 4323 - 4349
  • [10] Phase-field model of dendritic sidebranching with thermal noise
    Karma, A
    Rappel, WJ
    [J]. PHYSICAL REVIEW E, 1999, 60 (04): : 3614 - 3625