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首页> 外文期刊>Ocean Engineering >Numerical investigation of unsteady cloud cavitating flow around the Clark-Y hydrofoil with adaptive mesh refinement using OpenFOAM
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Numerical investigation of unsteady cloud cavitating flow around the Clark-Y hydrofoil with adaptive mesh refinement using OpenFOAM

机译:使用OppFoam具有自适应网眼水翼覆盖物覆盖物云云空化流动的数值研究

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摘要

In this paper, the cavitating flow around a three-dimension Clark-Y hydrofoil is investigated by the large eddy simulation (LES) method coupled with the volume of fluid (VOF) model in OpenFOAM. The simulated results are compared with the experimental data and a reasonable agreement is obtained. The cavitation-vortex interaction is studied with the vorticity transport equation and much stronger baroclinic torque term is observed. The adaptive mesh refinement (AMR) method is adopted for improving the accuracy and efficiency of numerical simulation. Comparing with the results presented by the mesh with fine resolution, even the coarse resolution mesh, with AMR method, can precisely characterize identical complex cavity structures and flow details. The local high pressure induced by the reverse flow and small residual vortex structures are obtained by the coarse resolution mesh with the AMR method. Further analyzes of the variation trend of total grid numbers using the AMR in one typical cycle show that the rates of the cloud cavitation shedding and collapse are faster than that of the attached cavity growth. This research illustrates that the AMR is a potential approach to accurately model multi-scale cavitating flows and to better understand cavitation mechanism on the premise of limited computational costs.
机译:在本文中,通过与OpenFoam中的流体(VOF)模型耦合的大涡流模拟(LES)方法研究了三维克拉克-Y水膜周围的空化流。将模拟结果与实验数据进行比较,获得合理的协议。利用涡流传输方程研究了空化涡流相互作用,并且观察到曲中扭矩术语更强。采用自适应网格细化(AMR)方法来提高数值模拟的准确性和效率。与具有精细分辨率的网格显示的结果相比,即使是具有AMR方法的粗糙分辨率网格,也可以精确地表征相同的复腔结构和流动细节。由逆流和小残余涡流结构引起的局部高压由粗糙分辨率网格与AMR方法获得。进一步分析了一个典型循环中的AMR中总电网数的变化趋势,表明云空化脱落和塌陷的速率比附着的腔生长的速度更快。该研究表明,AMR是准确地模拟多尺度空腔流动的潜在方法,并更好地了解有限计算成本的前提下的空化机制。

著录项

  • 来源
    《Ocean Engineering》 |2020年第15期|107349.1-107349.12|共12页
  • 作者单位

    Wuhan Univ State Key Lab Water Resources & Hydropower Engn S Wuhan 430072 Peoples R China;

    Zhejiang Sci Tech Univ Key Lab Fluid Transmiss Technol Zhejiang Prov Hangzhou 310018 Peoples R China;

    Wuhan Univ State Key Lab Water Resources & Hydropower Engn S Wuhan 430072 Peoples R China;

    Wuhan Univ State Key Lab Water Resources & Hydropower Engn S Wuhan 430072 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cavitation; Cavitation-vortex interaction; Adaptive mesh refinement (AMR); OpenFOAM;

    机译:空化;空化 - 涡旋相互作用;自适应网格细化(AMR);OpenFoam;

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