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Analysis and derivation of optimum operating conditions of Lapple cyclone separator by using CFD

机译：用CFD分析和得出Lapple旋风分离器的最佳运行条件

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Cyclones are one of the most extensively used gas cleaning equipment in the industry. Current empirical model based cyclone designs and performance prediction have many limitations due to complex nature of the gas-solid flow field. Computational Fluid Dynamic (CFD) simulation could be useful to predict cyclone performance as an alternative approach. This paper represents a CFD simulation of a Lapple cyclone separator using OpenFOAM software. The flow field of cyclone was obtained by using Reynolds averaged Navier-Stockes equations combine with k-e closure model. Flow field pressure and velocity distribution were obtained from the simulation and they were compared with the literature to evaluate the model validity. Multiphase Particle in Cell (MPPIC) method was used for the particle modeling, in which particle interactions with other particles were represented by models. Tangential gas velocity profile, pressure drop and particulate collection efficiency of cyclone obtained from the model were comparable to experimental results in the literature. Optimum values for inlet gas-solid velocity and particulate loading rate for the Lapple cyclone were obtained by this analysis. Pressure drop variation with gas-solid inlet velocity which has been obtained by this analysis could be useful to minimize the energy requirement while maintaining the required collection efficiency.
机译：旋风分离器是业内使用最广泛的气体清洁设备之一。由于气固流场的复杂性质，当前基于经验模型的旋风分离器设计和性能预测具有许多局限性。计算流体动力学（CFD）模拟作为一种替代方法可能有助于预测旋风分离器的性能。本文介绍了使用OpenFOAM软件对Lapple旋风分离器进行的CFD模拟。利用雷诺平均Navier-Stockes方程与k-e封闭模型相结合，获得了旋风分离器的流场。通过仿真获得流场压力和速度分布，并将其与文献进行比较以评估模型的有效性。使用多相单元中粒子（MPPIC）方法进行粒子建模，其中用模型表示粒子与其他粒子的相互作用。从该模型获得的切向气速曲线，压降和旋风分离器的颗粒收集效率与文献中的实验结果相当。通过该分析获得了拉普特旋风分离器的进气气固速度和颗粒负载率的最佳值。通过该分析获得的压降随气固入口速度的变化可能有助于使能量需求最小化，同时保持所需的收集效率。

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