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首页> 外文期刊>Numerical Heat Transfer, Part A. Application: An International Journal of Computation and Methodology >Numerical simulation of sudden-expansion particle-laden flows using an improved stochastic separated flow model
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Numerical simulation of sudden-expansion particle-laden flows using an improved stochastic separated flow model

机译:改进的随机分离流模型数值模拟含突然膨胀颗粒的流动

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An improved stochastic separated flow (ISSF) model developed by the present authors is tested with sudden-expansion particle-laden flows in this article. The predicted axial mean velocity and turbulent kinetic energy of both phases agree well with experimental data reported by Sommerfield. Distributions of particle number density and particle flow rate as well as the total flow rate are found to he reasonable, Sensitivity of predicted results to the number of calculation particles is studied and the improved model is shown to require fewer particles and less computing time as compared with traditional stochastic separated flow models. [References: 17]
机译:本文作者开发了一种改进的随机分离流(ISSF)模型,该模型用突然膨胀的充满粒子的流进行了测试。两相的预测轴向平均速度和湍动能与Sommerfield报告的实验数据吻合良好。找到合理的颗粒数密度和颗粒流速分布以及总流速分布,研究了预测结果对计算颗粒数的敏感性,并表明改进后的模型所需的颗粒更少,计算时间更少与传统的随机分离流模型。 [参考:17]

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