A novel phase-field model for three-dimensional shape transformation

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Seokjun Ham , Hyundong Kim , Youngjin Hwang , Soobin Kwak , Jyoti , Jian Wang , Heming Xu , Wenjing Jiang , Junseok Kim
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引用次数: 0

Abstract

We present a simple and robust numerical technique for a novel phase-field model of three-dimensional (3D) shape transformation. Shape transformation has been achieved using phase-field models. However, previous phase-field models have intrinsic drawbacks, such as shrinkage due to motion by mean curvature and unwanted growth. To overcome these drawbacks associated with previous models, we propose a novel phase-field model that eliminates these shortcomings. The proposed phase-field model is based on the Allen–Cahn (AC) equation with nonstandard mobility and a nonlinear source term. To numerically and efficiently solve the proposed phase-field equation, we adopt an operator splitting method, which consists of the AC equation with a nonstandard mobility and a fidelity equation. The modified AC equation is solved using a fully explicit finite difference method with a time step that ensures stability. For solving the fidelity equation, we use a semi-implicit scheme with a frozen coefficient. We have performed several numerical experiments with various 3D sources and target shapes to verify the robustness and efficacy of our proposed mathematical model and its numerical method.

用于三维形状变换的新型相场模型
我们为三维(3D)形状变换的新型相场模型提出了一种简单而稳健的数值技术。形状变换是通过相场模型实现的。然而,以往的相场模型存在固有的缺陷,如平均曲率运动导致的收缩和不必要的增长。为了克服以往模型的这些缺点,我们提出了一种新型相场模型,以消除这些缺点。所提出的相场模型基于具有非标准流动性和非线性源项的 Allen-Cahn (AC) 方程。为了高效地数值求解所提出的相场方程,我们采用了一种算子分裂方法,该方法由具有非标准流动性的 AC 方程和保真方程组成。修改后的交流方程采用完全显式有限差分法求解,其时间步长可确保稳定性。在求解保真方程时,我们使用了一种带有冻结系数的半隐式方案。我们用各种三维源和目标形状进行了多次数值实验,以验证我们提出的数学模型及其数值方法的稳健性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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