Turbulence models and simulation method in the CFD simulation of 75-mm hydrocyclone

Q4 Engineering
S. Kang, Kwang Chol Ki̇m, Sokchol Ryom, J. Ri
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引用次数: 2

Abstract

In this paper, an effective method for the classification process simulation in 75¬mm hydrocyclone is considered. The simulation results and computational time are compared using Reynolds stress model (RSM) and different large eddy simulation (LES) subgrid-scale models as turbulence models, and the volume of fluid model (VOF) as a multiphase model. The Lagrangian discrete phase model (DPM) is used to simulate the classification process of particles. As the experimental result for comparison of simulation results, Hsieh's experimental data are used. When the different LES subgrid-scale models are used, the solution converges stably by various solution convergence methods without increasing the grid numbers or reducing the size of time steps than RSM model. As a result, it is confirmed that when an appropriate simulation method is applied with the LES-WMLES S-Omega model, more accurate axial water flow velocity distribution and particle classification simulation results can be obtained at a computational cost similar to that of using the RSM model.
75-mm旋流器CFD仿真中的湍流模型及仿真方法
本文考虑了一种有效的75毫米水力旋流器分级过程模拟方法。将雷诺应力模型(RSM)和不同的大涡模拟(LES)子网格尺度模型作为湍流模型,将流体体积模型(VOF)作为多相模型,比较了模拟结果和计算时间。采用拉格朗日离散相模型(DPM)模拟粒子的分类过程。作为实验结果与仿真结果的比较,采用了谢长廷的实验数据。当使用不同的LES子网格尺度模型时,与RSM模型相比,在不增加网格数或减少时间步长的情况下,通过各种解收敛方法,解稳定收敛。结果证实,当LES-WMLES S-Omega模型应用适当的模拟方法时,可以以与使用RSM模型类似的计算成本获得更精确的轴向水流速度分布和颗粒分类模拟结果。
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
Scientific Mining Journal
Scientific Mining Journal Engineering-Industrial and Manufacturing Engineering
CiteScore
0.60
自引率
0.00%
发文量
7
期刊介绍: Scientific Mining Journal, which is published i n open access electronic environment and i n printed, is a periodical scientific journal of Union of Chambers of Turkish Engineers and Architects Chamber of Mining Engineers. The name of the journal was "Mining" until June 2016 and it has been changed to "Scientific Mining Journal" since September 2016 because it can be confused with popular journals with similar names and the ISSN number has been updated from 0024-9416 to 2564-7024. Scientific Mining Journal, published four times a year (March-June-September-December), aims to disseminate original scientific studies which are conducted according to the scientific norms and publication ethics at national and international scale, to scientists, mining engineers, the public; and thus to share scientific knowledge with society. The journal is in both Turkish and English. The journal covers theoretical, experimental, and applied research articles, which reflects the findings and results of an original research i n the field of mining engineering; review articles, which assess, evaluates, and interprets the findings of a comprehensive review of sufficient number of scientific articles and summarize them at present information and technology level; technical notes, which may be defined as a short article that describes a novel methodology o r technique; a case studies, which are based on the theoretical o r real professional practice and involves systematic data collection and analysis.
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