An unstructured geometrical un-split VOF method for viscoelastic two-phase flows

IF 3.4 2区 物理与天体物理 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer Physics Communications Pub Date : 2025-04-01 Epub Date: 2024-12-19 DOI:10.1016/j.cpc.2024.109475
Matthias Niethammer, Muhammad Hassan Asghar, Dieter Bothe, Tomislav Maric
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Abstract

Since viscoelastic two-phase flows arise in various industrial and natural processes, developing accurate and efficient software for their detailed numerical simulation is a highly relevant and challenging research task. We present a geometrical unstructured Volume-of-Fluid (VOF) method for handling two-phase flows with viscoelastic liquid phase, where the latter is modeled via generic rate-type constitutive equations and a one-field description is derived by conditional volume averaging of the local instantaneous bulk equations and interface jump conditions. The method builds on the plicRDF-isoAdvector geometrical VOF solver that is extended and combined with the modular framework DeboRheo for viscoelastic computational fluid dynamics (CFD). A piecewise-linear geometrical interface reconstruction technique on general unstructured meshes is employed for discretizing the viscoelastic stresses across the fluid interface. DeboRheo facilitates a flexible combination of different rheological models with appropriate stabilization methods to address the high Weissenberg number problem.

Program summary

Program Title: DeboRheo
CPC Library link to program files: https://doi.org/10.17632/gsgdrjm2md.1
Developer's repository link: https://gitlab.com/deborheo/deborheorelease/
Licensing provisions: GPLv3
Programming language: C++
Nature of problem: DNS of viscoelastic two-phase flows encounters major challenges due to abrupt changes of physical properties and rheological behaviors of the two phases at the fluid interface, and viscoelastic flows characterized with high Weissenberg numbers introduce additional numerical challenges.
Solution method: A geometrical unstructured Volume-of-Fluid (VOF) method for handling two-phase flows with a viscoelastic liquid phase, where the latter is modeled by generic rate-type constitutive equations. Appropriate stabilization techniques are included to address the High Weissenberg Number Problem (HWNP).
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粘弹性两相流的非结构几何非分裂VOF方法
由于粘弹性两相流存在于各种工业和自然过程中,因此开发准确、高效的软件对其进行详细的数值模拟是一项高度相关且具有挑战性的研究任务。本文提出了一种几何非结构化流体体积(VOF)方法来处理粘弹性液相两相流,其中粘弹性液相通过一般速率型本构方程建模,并通过局部瞬时体积方程和界面跳变条件的条件体积平均推导出单场描述。该方法建立在plicRDF-isoAdvector几何VOF求解器的基础上,该求解器扩展并结合了粘弹性计算流体动力学(CFD)的模块化框架DeboRheo。采用一般非结构网格上的分段线性几何界面重构技术,对流体界面上的粘弹性应力进行离散化。DeboRheo促进了不同流变模型与适当稳定方法的灵活组合,以解决高Weissenberg数问题。程序摘要程序标题:DeboRheoCPC库链接到程序文件:https://doi.org/10.17632/gsgdrjm2md.1Developer's存储库链接:https://gitlab.com/deborheo/deborheorelease/Licensing条款:gplv3编程语言:c++问题性质:粘弹性两相流动的物理性质和流变行为在流体界面处的突变是对其进行DNS的主要挑战,而高Weissenberg数的粘弹性流动则带来了额外的数值挑战。求解方法:一种几何非结构化流体体积(VOF)方法,用于处理粘弹性液相的两相流动,其中粘弹性液相由一般速率型本构方程建模。适当的稳定技术包括解决高魏森伯格数问题(HWNP)。
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
Computer Physics Communications
Computer Physics Communications 物理-计算机:跨学科应用
CiteScore
12.10
自引率
3.20%
发文量
287
审稿时长
5.3 months
期刊介绍: The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper. Computer Programs in Physics (CPiP) These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged. Computational Physics Papers (CP) These are research papers in, but are not limited to, the following themes across computational physics and related disciplines. mathematical and numerical methods and algorithms; computational models including those associated with the design, control and analysis of experiments; and algebraic computation. Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.
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