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首页> 外文期刊>Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems >Comprehensive analysis of fluid-particle and particle-particle interactions in a liquid-solid fluidized bed via CFD-DEM coupling and tomography
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Comprehensive analysis of fluid-particle and particle-particle interactions in a liquid-solid fluidized bed via CFD-DEM coupling and tomography

机译:通过CFD-DEM耦合和断层扫描综合分析液固流化床中的流体颗粒和颗粒颗粒相互作用

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In this study, a coupled computational fluid dynamics (CFD) and discrete element method (DEM) model was developed to analyze the fluid-particle and particle-particle interactions in a 3D liquid-solid fluidized bed (LSFB). Validation of the model was carried out using the Electrical Resistance Tomography (ERT) experimental method. ERT was employed to measure the bed-averaged particle volume fraction (BPVF) of 0.002 m glass beads fluidized with water for various particle numbers and flow rates. A response surface method (RSM) statistical model was developed to predict BPVF values of the LSFB system. CFD-DEM simulation results were used to quantify the influence of individual interaction forces and contact parameters (particle-scale phenomena) on the LSFB performance. This was done by i) comparing the simulation results obtained from three common drag models (i.e. Gidaspow, Syamlal-O'brien, and Schiller-Naumann drag models) and experimental measurements, ii) quantifying the effect of the inclusion of other interaction forces (i.e. pressure gradient, virtual mass, and Saffman lift forces), and iii) conducting the contact parameter calibration. It was found that the combination of the Gidaspow drag model with pressure gradient and virtual mass forces provided the least percentage error between simulation results and experiments. Contact parameters calibration showed that viscous dissipation, lubrication effects, and particle rotation damping effects must be accounted for in wet particle systems. The difference between simulations and experiments was 4.74%, following the drag model selection, inclusion of relevant interaction forces, and contact parameter calibration. (C) 2018 Elsevier B.V. All rights reserved.
机译:在该研究中,开发了一种耦合的计算流体动力学(CFD)和离散元件方法(DEM)模型以分析3D液体固体流化床(LSFB)中的流体颗粒和颗粒颗粒相互作用。使用电阻断层扫描(ert)实验方法进行模型的验证。用于测量用水流化为各种颗粒数和流速的0.002M玻璃珠的床平均颗粒体积分数(BPVF)。开发了一种响应面方法(RSM)统计模型以预测LSFB系统的BPVF值。 CFD-DEM仿真结果用于量化各个相互作用力和接触参数(粒子尺度现象)对LSFB性能的影响。这是通过i)比较从三个常见阻力模型(即GiDaspow,Syamlal-o'brien和Schiller-Naumann拖曳模型)获得的模拟结果和实验测量,ii)量化包含其他相互作用力的效果(即压力梯度,虚拟质量和Saffman升降力),并且III)进行接触参数校准。发现GIDaspow拖曳模型与压力梯度和虚拟质量力的组合提供了仿真结果和实验之间的百分比误差。联系人参数校准显示,在湿粒子系统中必须考虑粘性耗散,润滑效果和颗粒旋转阻尼效果。在拖动模型选择,包含相关的交互力和接触参数校准之后,模拟和实验之间的差异为4.74%。 (c)2018 Elsevier B.v.保留所有权利。

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