Numerical study of gas–solid flow characteristics of cylindrical fluidized beds based on coarse‐grained CFD‐DEM method

Zhong Tang, Zhenzhong Li, Shanglong Huang, Chen Yang
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Abstract

The existing researches lack the comprehensive comparison of the performance of two‐fluid model (TFM) and computational fluid dynamics‐discrete element model (CFD‐DEM) using a cylindrical fluidized bed as a research object. In addition, the applicability of rotational periodic boundary conditions in CFD‐DEM simulations of cylindrical fluidized beds is still unclear. Therefore, taking cylindrical fluidized bed as the object and studying the performance of different simulation methods can provide guidance for the selection of simulation methods in subsequent related studies. In the present study, TFM and coarse‐grained CFD‐DEM were used in simulations of the fluidized bed to evaluate the performance of different numerical methods. Furthermore, the applicability of rotating periodic boundary conditions in CFD‐DEM simulations was investigated. The results show that TFM and coarse‐grained CFD‐DEM perform in general agreement in predicting macro variables (e.g., overall pressure drop and bed height). However, radial void fraction distribution and void fraction probability density function (PDF) distribution of CFD‐DEM agreed better with the experimental data. CFD‐DEM simulations with rotational periodic boundary conditions applied showed lower predicted void fraction PDF peaks at packed bed heights and poorly modelling particle mixing in the central of cylindrical fluidized bed due to changes in the boundary conditions as well as the number of particle parcels. Therefore, both TFM and CFD‐DEM can obtain reasonable macro variables, but CFD‐DEM predicted more accurate gas–solid two‐phase distribution. The CFD‐DEM with rotating periodic boundary conditions could not reasonably predict the pressure drop and gas–solid two‐phase distribution inside the cylindrical fluidized bed.
基于粗粒度 CFD-DEM 方法的圆柱流化床气固流动特性数值研究
现有研究缺乏以圆柱流化床为研究对象,对双流体模型(TFM)和计算流体力学-离散元模型(CFD-DEM)性能的全面比较。此外,旋转周期性边界条件在圆柱流化床 CFD-DEM 模拟中的适用性仍不明确。因此,以圆柱流化床为研究对象,研究不同模拟方法的性能,可以为后续相关研究中模拟方法的选择提供指导。本研究采用 TFM 和粗粒度 CFD-DEM 对流化床进行模拟,以评估不同数值方法的性能。此外,还研究了旋转周期边界条件在 CFD-DEM 模拟中的适用性。结果表明,TFM 和粗粒度 CFD-DEM 在预测宏观变量(如总压降和床层高度)方面的表现基本一致。然而,CFD-DEM 的径向空隙率分布和空隙率概率密度函数 (PDF) 分布与实验数据更为吻合。应用旋转周期性边界条件的 CFD-DEM 模拟显示,由于边界条件和颗粒包裹数的变化,在填料床高度处预测的空隙率概率密度函数峰值较低,对圆柱流化床中心的颗粒混合模拟较差。因此,TFM 和 CFD-DEM 都能获得合理的宏观变量,但 CFD-DEM 预测的气固两相分布更为精确。采用旋转周期边界条件的 CFD-DEM 无法合理预测圆柱流化床内的压降和气固两相分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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