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Numerical simulation of gas-particle flows behind a backward-facing step using an improved stochastic separated flow model

机译:使用改进的随机分离流模型对后向步骤后的气体颗粒流进行数值模拟

摘要

An improved stochastic separated flow (ISSF) model developed by the present authors is tested in gas-particle flows behind a backward-facing step, in this paper. The gas phase of air and the particle phase of 150 μm glass and 70 μm copper spheres are numerically simulated using the k-ε model and the ISSF model, respectively. The predicted mean streamwise velocities as well as streamwise and transverse fluctuating velocities of both phases agree well with experimental data reported by Fessler. The reattachment length of 7.6H matches well with the experimental value of 7.4H. Distributions of particle number density are also given and found to be in good agreement with the experiment. The sensitivity of the predicted results to the number of calculation particles is studied and the improved model is shown to require much less calculation particles and less computing time for obtaining reasonable results as compared with the traditional stochastic separated flow model. It is concluded that the ISSF model can be used successfully in the prediction of backward-facing step gas-particle flows, which is characterised by having recirculating regions and anisotropic fluctuating velocities.
机译:本文作者开发了一种改进的随机分离流(ISSF)模型,该模型在反向步骤之后的气体颗粒流中进行了测试。分别使用k-ε模型和ISSF模型分别模拟了空气的气相和150μm的玻璃和70μm的铜球的颗粒相。两相的预测平均河道速度以及河道和横向波动速度均与Fessler报告的实验数据吻合。重新连接长度7.6H与7.4H的实验值非常吻合。还给出了粒子数密度的分布,发现与实验非常吻合。研究了预测结果对计算粒子数量的敏感性,与传统的随机分离流模型相比,改进后的模型需要更少的计算粒子和更少的计算时间来获得合理的结果。结论是,ISSF模型可以成功地用于后向阶跃气体颗粒流的预测,其特征在于具有回流区域和各向异性波动速度。

著录项

  • 作者

    Chan CK; Zhang HQ; Lau KS;

  • 作者单位
  • 年度 2001
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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