Performance analysis of a 2D numerical model in estimating minimum fluidization velocity for fluidized beds--颗粒学报PARTICUOLOGY

Hossain, N., & Metcalfe, R. (2023). Performance analysis of a 2D numerical model in estimating minimum fluidization velocity for fluidized beds. Particuology, 77, 116-127. https://doi.org/10.1016/j.partic.2022.08.003

Performance analysis of a 2D numerical model in estimating minimum fluidization velocity for fluidized beds

Nazmul Hossain ^*, Ralph Metcalfe

Department of Mechanical Engineering, University of Houston, Houston, TX, 77004, USA

10.1016/j.partic.2022.08.003

Volume 77, June 2023, Pages 116-127

Received 8 April 2022, Revised 21 July 2022, Accepted 8 August 2022, Available online 28 August 2022, Version of Record 2 December 2022.

E-mail: nhossai3@central.uh.edu

Highlights

• Analyzed pseudo-2D fluidized beds of varying bed size, particle size, and number of particles.

• Reasoning behind difficulty in individual error estimation and limitation of 2D Two Fluid Model.

• Minimum fluidization pressure drop characteristics is independent of bed height choices.

• 2D model Euler number characteristics improves prediction of minimum fluidization velocity where pressure drop characteristics fails.

• Wall frictional loss is the dominant reason for divergence of pressure drop near fluidization, followed by wall and inter-particle collisions.

Abstract

The minimum fluidization velocity of a fluid–solid particle fluidized bed is the primary focus of this paper. The computationally economic Eulerian Granular model has been used to analyze fluidization for both gas–solid particle and liquid-solid particle fluidized beds. The conventional approach of finding minimum fluidization velocity (u_mf) is either with a pressure drop across the particle bed or the change in bed height. However, these parameters are often unstable and cannot be used to generalize the degree of fluidization accurately. In this paper, the dominant factor of unstable pressure drop estimation in the 2D Two-Fluid Model (TFM) and a key non-dimensional Euler number has been investigated in determining minimum fluidization velocity for different quasi-2D fluidized beds for different bed sizes, particle sizes, and particle numbers. Averaging assumptions and limitations of these numerical models are discussed in detail for four different fluidized bed cases. A comparative study of the drag model shows little to no influence in unstable pressure drop estimation near fluidization velocity, and all drag models perform similarly. It is observed that particle-particle collision is not the dominant reason for unstable pressure drop near minimum fluidization. Instead, wall effects on the particle bed including frictional losses and wall-particle collision play a key role in unstable pressure drop calculation for the quasi-2D fluidized beds. Pressure drop characteristics alone do not suffice to obtain minimum fluidization velocity with 2D TFM using existing models. Thus, a different approach has been proposed to investigate minimum fluidization involving the Euler number, which has shown promising performance in determining minimum fluidization velocity and characterizing fluidization with 2D TFM. Results show consistency in Euler number characteristics for all different fluidized bed cases considered in this paper. This can revitalize computationally economic 2D Eulerian simulations, increase the range of possible applications, and provide guidance to the future development of computationally efficient and more accurate numerical models, and empirical correlations for minimum fluidization velocity.

Graphical abstract

Keywords

Fluidized bed; Minimum fluidization velocity; Fluid–solid particle flow; Eulerian granular multiphase model

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