Highly conservative Allen–Cahn-type multi-phase-field model and evaluation of its accuracy

IF 2.2 3区 工程技术 Q2 MECHANICS Theoretical and Computational Fluid Dynamics Pub Date : 2023-05-25 DOI:10.1007/s00162-023-00655-0
Shintaro Aihara, Naoki Takada, Tomohiro Takaki
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引用次数: 2

Abstract

In the engineering field, it is necessary to construct a numerical model that can reproduce multiphase flows containing three or more phases with high accuracy. In our previous study, by extending the conservative Allen–Cahn (CAC) model, which is computationally considerably more efficient than the conventional Cahn–Hilliard (CH) model, to the multiphase flow problem with three or more phases, we developed the conservative Allen–Cahn type multi-phase-field (CAC–MPF) model. In this study, we newly construct the improved CAC–MPF model by modifying the Lagrange multiplier term of the previous CAC–MPF model to a conservative form. The accuracy of the improved CAC–MPF model is evaluated through a comparison of five models: three CAC–MPF models and two CH–MPF models. The results indicate that the improved CAC–MPF model can accurately and efficiently perform simulations of multiphase flows with three or more phases while maintaining the same level of volume conservation as the CH model. We expect that the improved CAC–MPF model will be applied to various engineering problems with multiphase flows with high accuracy.

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高度保守的Allen–Cahn型多相场模型及其精度评价
在工程领域,需要建立一种能够高精度再现三相或三相以上多相流的数值模型。在之前的研究中,我们将比传统的Cahn-Hilliard (CH)模型计算效率更高的保守型Allen-Cahn (CAC)模型扩展到三相或三相以上的多相流问题,建立了保守型Allen-Cahn型多相场(CAC - mpf)模型。在本研究中,我们将之前的CAC-MPF模型的拉格朗日乘数项修改为保守形式,从而构建了改进的CAC-MPF模型。通过对3个CAC-MPF模型和2个CH-MPF模型的比较,对改进后的CAC-MPF模型的精度进行了评价。结果表明,改进的CAC-MPF模型在保持与CH模型相同的体积守恒水平的情况下,能够准确有效地模拟三相或三相以上的多相流。我们期望改进的CAC-MPF模型能够以较高的精度应用于各种多相流工程问题。
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来源期刊
CiteScore
5.80
自引率
2.90%
发文量
38
审稿时长
>12 weeks
期刊介绍: Theoretical and Computational Fluid Dynamics provides a forum for the cross fertilization of ideas, tools and techniques across all disciplines in which fluid flow plays a role. The focus is on aspects of fluid dynamics where theory and computation are used to provide insights and data upon which solid physical understanding is revealed. We seek research papers, invited review articles, brief communications, letters and comments addressing flow phenomena of relevance to aeronautical, geophysical, environmental, material, mechanical and life sciences. Papers of a purely algorithmic, experimental or engineering application nature, and papers without significant new physical insights, are outside the scope of this journal. For computational work, authors are responsible for ensuring that any artifacts of discretization and/or implementation are sufficiently controlled such that the numerical results unambiguously support the conclusions drawn. Where appropriate, and to the extent possible, such papers should either include or reference supporting documentation in the form of verification and validation studies.
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