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

M. D. De Silva, M. Narayana
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引用次数: 1

Abstract

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.
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利用CFD对Lapple旋风分离器的最佳工况进行了分析和推导
旋风分离器是工业中使用最广泛的气体净化设备之一。由于气固流场的复杂性,目前基于经验模型的旋风分离器设计和性能预测存在许多局限性。计算流体动力学(CFD)模拟可以作为一种替代方法来预测旋风分离器的性能。本文采用OpenFOAM软件对Lapple旋风分离器进行了CFD模拟。采用Reynolds平均Navier-Stockes方程结合k-e闭合模型,得到了旋风分离器的流场。仿真得到了流场压力和速度分布,并与文献进行了比较,以评价模型的有效性。采用多相细胞内粒子(MPPIC)方法进行粒子建模,用模型表示粒子与其他粒子的相互作用。模型得到的旋流器切向气速分布、压降和颗粒收集效率与文献实验结果相当。通过分析得到了Lapple旋风分离器入口气固速度和颗粒加载率的最优值。通过分析得到的压力降随气固入口速度的变化可以在保持所需的收集效率的同时最小化能量需求。
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