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RANS modelling and LES of particle deposition in a turbulent square duct flow

机译:湍流方管流动中的rans建模和粒子沉积

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The ability of a RANS approach, coupled with a Lagrangian particle tracking technique, to predict particle dispersion and deposition in a high Reynolds number duct flow has been assessed for spherical particles in the range 5-500 μm, based on the assumption of one-way coupling. The results are compared with LES-based predictions and single-phase flow data. Predictions of the time-dependent particle dispersion and deposition show good agreement with LES results, with similar agreement in the spanwise direction for all but the largest particles. In the latter case, analysis of the forces acting on the particles, and mean relative slip velocities, indicates that this is due to an under-prediction of the spanwise drag force. This results in LES predicting that the largest particles tend to concentrate at the corners of the duct floor, whilst for RANS they deposit with a more even distribution.
机译:RAN方法与拉格朗日粒子跟踪技术相结合的能力,以预测高雷诺数管道流中的颗粒分散和沉积,基于单向的假设,用于5-500μm的球形颗粒。 耦合。 将结果与基于LES的预测和单相流数据进行比较。 预测时间依赖性颗粒分散和沉积与LES结果展示了良好的一致性,在除了最大颗粒的跨越方向上具有相似的一致性。 在后一种情况下,对作用在颗粒上的力和平均相对滑移速度的分析表明这是由于翼展拖曳力的欠预测。 这导致LES预测,最大颗粒倾向于集中在管道地板的角落,同时rans沉积在更均匀的分布。

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