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首页> 外文期刊>AIChE Journal >Effect of anisotropic microstructures on fluid-particle drag in low-Reynolds-number monodisperse gas-solid suspensions
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Effect of anisotropic microstructures on fluid-particle drag in low-Reynolds-number monodisperse gas-solid suspensions

机译:各向异性微观结构对低曲回数单分散气固悬浮液中流体颗粒拖曳的影响

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摘要

Local structural anisotropy prevails in gas-solid suspensions. It causes strong fluctuations in the drag on individual particles. In this work, the anisotropy of microstructures is quantified by a second-order structure tensor, which is determined with a directionally dependent mean free path length. Direct numerical simulations of low-Reynolds-number flows past anisotropic and isotropic BCC, FCC, and random arrays of monodisperse spheres in sufficiently large domains are performed. The results show that, at the same solid volume fraction, the differences between the mean drag in principal directions of anisotropic arrays and that in isotropic arrays correlate well with functions of eigenvalues of the structure tensor for the anisotropic arrays. Anisotropic drag models for different arrays are proposed. Assessment of the model for random arrays shows that it well captures fluctuations in the mean drag at microscales of several sphere diameters, where the traditional model fails to give satisfactory predictions.
机译:局部结构各向异性在天然气固体悬浮液中占有平。它导致拖动拖动对单个粒子的强烈波动。在这项工作中,通过二阶结构张量量化微结构的各向异性,这是用定向相关的平均自由路径长度确定的二阶结构张量。进行直接数值模拟的低返回数量超过各向异性和各向同性BCC,FCC和在足够大的域中的单分散球的随机阵列。结果表明,在相同的固体体积分数中,各向异性阵列的主要方向上的平均方向与各向同性阵列之间的差异良好地与各向异性阵列的结构张量的特征值的功能吻合良好。提出了不同阵列的各向异性拖曳模型。对随机阵列模型的评估表明,它很好地捕获在多个球体直径的微观上的平均拖动中的波动,传统模型无法提供令人满意的预测。

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