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首页> 外文期刊>International Journal of Multiphase Flow >Importance of the fluid-particle drag model in predicting segregation in bidisperse gas-solid flow
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Importance of the fluid-particle drag model in predicting segregation in bidisperse gas-solid flow

机译:流体颗粒阻力模型在预测双分散气固两相分离中的重要性

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The slip velocity between particle size classes in a homogeneous bidisperse gas-solid flow is quantified using particle-resolved direct numerical simulation (PR-DNS). This slip velocity is the key characteristic of size segregation in industrial devices. The ability of current gas-particle drag models to predict this slip velocity is examined by simultaneously solving the mean momentum equations for the gas phase and dispersed phases. PR-DNS of fixed particle assemblies is then used to validate and improve the bidisperse gas-particle drag model. The drag model inferred from bidisperse fixed beds is compared with the drag force measured from PR-DNS of freely evolving bidisperse suspensions. The ability of this new model to predict the slip velocity between particle size classes in a bidisperse gas-solid flow is also examined. (C) 2016 Elsevier Ltd. All rights reserved.
机译:使用颗粒分解直接数值模拟(PR-DNS)来定量均相双分散气固两相流中粒径类别之间的滑动速度。该滑动速度是工业设备中尺寸分离的关键特征。通过同时求解气相和分散相的平均动量方程,可以检验当前的气体颗粒阻力模型预测此滑动速度的能力。然后使用固定颗粒组件的PR-DNS来验证和改进双分散气体颗粒阻力模型。从双分散固定床推导的阻力模型与从自由演化的双分散悬浮液的PR-DNS测量的阻力进行了比较。还研究了这个新模型预测双分散气固两相流中粒度级之间滑动速度的能力。 (C)2016 Elsevier Ltd.保留所有权利。

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