Implementation and Performance Analysis of IDEAL Algorithm for Unsteady Two-Phase Flow Problems in OpenFOAM

doi:10.7652/xjtuxb202012018

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Implementation and Performance Analysis of IDEAL Algorithm for Unsteady Two-Phase Flow Problems in OpenFOAM

更新时间：2025-07-09

- Implementation and Performance Analysis of IDEAL Algorithm for Unsteady Two-Phase Flow Problems in OpenFOAM
- Vol. 54, Issue 12, Pages: 147-157(2020)
- 作者机构：
  
  1. 北京石油化工学院机械工程学院,北京,102617
  2. 北京安全生产工程技术研究院,北京,102617
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202012018
  CLC： TK124
- Online First：10 December 2020，
  
  Published：2020
- 稿件说明：
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Implementation and Performance Analysis of IDEAL Algorithm for Unsteady Two-Phase Flow Problems in OpenFOAM[J]. 2020, 54(12): 147-157.
DOI：

Implementation and Performance Analysis of IDEAL Algorithm for Unsteady Two-Phase Flow Problems in OpenFOAM[J]. 2020, 54(12): 147-157. DOI： 10.7652/xjtuxb202012018.

摘要

针对IDEAL算法在界面两相流数值模拟中的应用主要基于结构化网格或二维非结构化网格

难以在复杂问题中推广应用的难题

将IDEAL算法植入到了开源计算流体力学软件OpenFOAM的界面两相流求解器interFoam中

然后通过二维液柱倒塌、二维单气泡上升、三维异轴双气泡上升以及三维起伏管段气液两相流4个算例对IDEAL算法与OpenFOAM软件中采用的PIMPLE算法进行了计算性能分析。研究结果表明:IDEAL算法的计算时间较PIMPLE算法减少了17.6%～+∞; 在部分工况下PIMPLE算法难以收敛

而IDEAL算法仍然可以快速获得收敛解。研究结果为IDEAL算法在复杂界面两相流问题中的推广奠定了基础。

Abstract

The IDEAL algorithm is implanted into the two-phase flow solver interFoam in the most popular open-source computational fluid dynamics software OpenFOAM to solve the problem that the existing applications of the IDEAL algorithm in the numerical simulation of two-phase flows are mainly based on the structured grids or two-dimensional unstructured grids

and its further application in complex problems is limited. Then

its performance advantages over the PIMPLE algorithm are verified using four numerical examples

i.e.

two-dimensional dam break

two-dimensional single-bubble rising

three-dimensional non-coaxial double-bubble rising

and gas-liquid two-phase flow in an undulating pipeline. The research results indicate that the computational time of the IDEAL algorithm is reduced by 17.6% - +∞ compared with the PIMPLE algorithm. Moreover

the PIMPLE algorithm is difficult to converge in some cases

whereas the IDEAL algorithm can still obtain the convergent solution quickly. This study lays a foundation for extending the IDEAL algorithm to complex two-phase flow problems.

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references

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