在优化条件下评估非结构化求解器中的不同流体体积法

IF 2.5 3区 工程技术 Q2 MECHANICS
Takuya Yamamoto , Sergey V. Komarov
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引用次数: 0

摘要

我们使用以下五种不同的方法比较了非结构化求解器中流体体积(VOF)方法的精度:1 - 代数压缩 VOF 方法;2 - 带水平集(S-CLSVOF)的简单耦合 VOF 方法;3 - 结合拉普拉斯滤波器(VOFL)的界面压缩 VOF 方法;4 - 等矢量方法;5 - 结合拉普拉斯滤波器(isoAdvectorL)的等矢量方法。为了在适当条件下对这些方法进行评估,我们使用贝叶斯优化探索的优化参数对计算精度进行了比较。我们考虑了静态多相流体场中体积分数平流精度和表面张力不平衡的测试案例。研究发现,根据 VOF 和 S-CLSVOF 方法的模拟条件,应调整压缩参数和最大库仑数,以获得高精度模拟。在 VOFL 和 isoAdvectorL 方法中,杂散电流可以大大减少,这意味着这些方法适用于拉普拉斯数较高条件下的慢速流动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation on different volume of fluid methods in unstructured solver under the optimized condition

We compared the accuracy of volume of fluid (VOF) methods in unstructured solvers using the following five different methods: 1 - the algebraically compressive VOF method, 2 – simple coupled VOF method with Level Set (S-CLSVOF) method, 3 - interface-compressing VOF method incorporated with Laplacian filter (VOFL), 4 - isoAdvector method, and 5 - isoAdvector method incorporated with Laplacian filter (isoAdvectorL) by incorporating them into OpenFOAM®, an open-source software. To evaluate these methods under proper conditions, we compared the calculation accuracy using the optimized parameters, which are explored by Bayesian optimization. The test cases for advection accuracy of volume fraction and for imbalance of surface tension force in static multiphase fluid fields were considered. In this study, we found that the compression parameters and maximum Courant number should be adjusted to obtain high accuracy simulation according to the simulation condition in VOF and S-CLSVOF method. In VOFL and isoAdvectorL methods, the spurious current can be extremely reduced, which means that these methods are suitable for slow flow with higher Laplace number conditions.

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来源期刊
CiteScore
5.90
自引率
3.80%
发文量
127
审稿时长
58 days
期刊介绍: The European Journal of Mechanics - B/Fluids publishes papers in all fields of fluid mechanics. Although investigations in well-established areas are within the scope of the journal, recent developments and innovative ideas are particularly welcome. Theoretical, computational and experimental papers are equally welcome. Mathematical methods, be they deterministic or stochastic, analytical or numerical, will be accepted provided they serve to clarify some identifiable problems in fluid mechanics, and provided the significance of results is explained. Similarly, experimental papers must add physical insight in to the understanding of fluid mechanics.
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