PERFORMANCE ANALYSIS AND THE EFFECTS OF KEY PARAMETERS IN SOLID PARTICLE BEDS
type: CreativeWork
description: Fluid-solid particle beds have a broad range of industrial applications as packed and fluidized beds. The particle-particle collision, particle-wall interaction, and virtual mass force which initiates from particle motion influencing neighboring particles make it very difficult to analyze the problem experimentally and numerically. This work is focused on assessing the performance of the existing numerical models for determining minimum fluidization velocity (u_mf), the effects of the key parameters in bed optimization, the turbulence-like behavior initiating from three-dimensionality, quantification of bed performance, and jet-like patterns in uniform inflow. The Eulerian 2D model overestimates pressure drop near fluidization, and thus the U_mf from pressure drop slope cannot be determined accurately. We investigated the 2D TFM (Two-Fluid Model) abnormal pressure drop near minimum fluidization and proposed an Euler number as a more accurate alternative determining u_mf. From our research, the Kinetic Theory of Granular Flow (KTGF) model for particle interaction is more impactful near fluidization, and the drag model is more influential at velocities above u_mf. Our simulations have shown that wall effects on the particle bed including frictional losses and wall-particle collision are the dominant reasons for abnormal pressure drop near minimum fluidization. In an annular fluidized bed, 3D TFM showed that particle size is the most dominant factor in u_mf, followed by the particle bed height or overburden. Bed thickness does not influence u_mf for this type of fluidized bed. Our CFD-DEM simulations showed that there is an increase in recirculation zones for increasing bed thickness to particle ratio. An approach to quantifying the effectiveness of solid particle beds has been proposed with heat transfer between fluid and particles using the CFD-DEM approach. A more efficient capped fluidized bed design has been proposed, and the numerical results show the significant…
abstract: Fluid-solid particle beds have a broad range of industrial applications as packed and fluidized beds. The particle-particle collision, particle-wall interaction, and virtual mass force which initiates from particle motion influencing neighboring particles make it very difficult to analyze the problem experimentally and numerically. This work is focused on assessing the performance of the existing numerical models for determining minimum fluidization velocity (u_mf), the effects of the key parameters in bed optimization, the turbulence-like behavior initiating from three-dimensionality, quantification of bed performance, and jet-like patterns in uniform inflow. The Eulerian 2D model overestimates pressure drop near fluidization, and thus the U_mf from pressure drop slope cannot be determined accurately. We investigated the 2D TFM (Two-Fluid Model) abnormal pressure drop near minimum fluidization and proposed an Euler number as a more accurate alternative determining u_mf. From our research, the Kinetic Theory of Granular Flow (KTGF) model for particle interaction is more impactful near fluidization, and the drag model is more influential at velocities above u_mf. Our simulations have shown that wall effects on the particle bed including frictional losses and wall-particle collision are the dominant reasons for abnormal pressure drop near minimum fluidization. In an annular fluidized bed, 3D TFM showed that particle size is the most dominant factor in u_mf, followed by the particle bed height or overburden. Bed thickness does not influence u_mf for this type of fluidized bed. Our CFD-DEM simulations showed that there is an increase in recirculation zones for increasing bed thickness to particle ratio. An approach to quantifying the effectiveness of solid particle beds has been proposed with heat transfer between fluid and particles using the CFD-DEM approach. A more efficient capped fluidized bed design has been proposed, and the numerical results show the significant…
author: Hossain, Nazmul
language: eng
keywords: Fluidized Bed, Minimum fluidization Velocity, Bed Efficiency, Patterns in particle motion, Eulerian, CFD-DEM
date published: 2021-12
date modified: 2026-07-24T02:32:34Z
provider: University of Houston
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Houston

PropertyValue
property ID: Handle
value: https://hdl.handle.net/10657/11008