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An assessment of different turbulence models for predicting flow in a baffled tank stirred with a Rushton turbine

机译:评估不同湍流模型以预测装有Rushton涡轮的折流板罐中的流量

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摘要

This work presents a comprehensive study of different turbulence models, including the k-ε, SST, SSG-RSM and the SAS-SST models, for simulating turbulent flow in a baffled tank stirred with a Rushton turbine. All the turbulence models tested predict the mean axial and tangential velocities reasonably well, but under-predict the decay of mean radial velocity away from the impeller. The k-ε model predicts poorly the generation and dissipation of turbulence in the vicinity of the impeller. This contrasts with the SST model, which properly predicts the appearance of maxima in the turbulence kinetic energy and turbulence energy dissipation rate just off the impeller blades. Curvature correction improves the SST model by allowing a more accurate prediction of the magnitude and location of these maxima. However, neither the k-ε nor the SST model is able to properly capture the chaotic and three-dimensional nature of the trailing vortices that form downstream of the blades of the impeller. In this sense, the SAS-SST model produces more physical predictions. However, this model has some drawbacks for modelling stirred tanks, such as the large number of modelled revolutions required to obtain good statistical averaging for calculating turbulence quantities. Taking into consideration both accuracy and solution time, the SSG-RSM model is the least satisfactory model tested for predicting turbulent flow in a baffled stirred tank with a Rushton turbine.
机译:这项工作对包括k-ε,SST,SSG-RSM和SAS-SST模型在内的不同湍流模型进行了全面的研究,以模拟用Rushton涡轮搅拌的折流罐中的湍流。所有测试的湍流模型都可以很好地预测平均轴向和切向速度,但是低估了远离叶轮的平均径向速度的衰减。 k-ε模型很难预测叶轮附近湍流的产生和消散。这与SST模型形成对比,后者正确地预测了刚好位于叶轮叶片附近的湍动能和湍流能量耗散率的最大值。曲率校正通过允许更精确地预测这些最大值的大小和位置来改善SST模型。但是,k-ε模型和SST模型都无法正确捕获形成在叶轮叶片下游的尾部涡流的混沌和三维性质。从这个意义上说,SAS-SST模型产生了更多的物理预测。然而,该模型对于搅拌罐的建模具有一些缺点,例如为了获得良好的统计平均值以计算湍流量而需要大量的建模转数。考虑到精度和求解时间,SSG-RSM模型是测试中最不令人满意的模型,用于预测带有Rushton涡轮的折流搅拌釜中的湍流。

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