首页> 外文期刊>Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems >Estimating pressure drop and Ergun/Forchheimer parameters of flow through packed bed of spheres with large particle diameters
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Estimating pressure drop and Ergun/Forchheimer parameters of flow through packed bed of spheres with large particle diameters

机译:通过具有大粒径的填充床的流量估算压力下降和ergun / Forchheimer参数,具有大粒径的填充床

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Characterization of flow through packed bed of spheres with large particle diameters (0 similar to m) is important in industrial applications, such as mining, geothermal, oil and gas, and construction industries. In this study, a three-dimensional pore-scale mathematical model of packed bed of spheres with large particle diameters considering uniform and non-uniform particle size distributions is developed and validated against experimental data. It was found that the available correlations fail to predict flow behavior in packed bed with larger particle sizes. Hence, Ergun and Forchheimer theories along with pore-scale mathematical model are utilized to simulate and develop permeability (Carman-Kozeny) and inertial resistance (Forchheimer) correlations which are valid for flow through packed bed of spheres with large particle sizes, i.e. sphere diameter from 0.04 to 1.2 m and porosity between 0.2 and 0.7. The developed correlation can be used in either analytical or volume-averaged computational models which is useful for industrial/practical. Crown Copyright (C) 2019 Published by Elsevier B.V. All rights reserved.
机译:通过具有大粒径(类似于M)的流过填充床的流动的特征在工业应用中,如采矿,地热,石油和天然气和建筑行业。在该研究中,考虑均匀和非均匀粒度分布的大粒径分布的具有大粒径的三维孔隙率数学模型,并针对实验数据验证。发现可用的相关性不能预测填充床中的流动性,粒径较大。因此,利用Ergun和Forchheimer理论以及孔隙率数学模型来模拟和开发渗透率(卡尔曼 - kozeny)和惯性电阻(学校偶联器)相关性,其有效地通过具有大粒径的大粒径,即球体直径从0.04至1.2米,孔隙率在0.2和0.7之间。开发的相关性可用于分析或体积平均计算模型,这对于工业/实践有用。皇家版权(c)2019由elsevier b.v出版。保留所有权利。

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