Campus Units

Chemical and Biological Engineering, Ames Laboratory

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

2019

Journal or Book Title

Powder Technology

DOI

10.1016/j.powtec.2019.04.031

Abstract

Starting from a generalized population balance equation and the Boltzmann–Enskog collision model for hard spheres, a kinetic theory model for polydisperse gas–particle flows is presented. Here, polydispersity results from spherical particles with the same material density but different diameters. The particle size distribution (PSD) of the particles is allowed to evolve in space and time due to physical processes such as mixing. In order to treat a continuous PSD, the particle-phase model is formulated in terms of the moments of the PSD, and velocity moments conditioned on the particle size. Velocity moments up to second order are included, resulting in transport equations for the mass, momentum and granular temperature, all conditioned on the particle size. In the numerical implementation, the PSD is represented using quadrature-based moment methods (QBMM). With QBMM, a continuous PSD can be treated using a relatively small number of moments as compared to class or sectional methods. Here, a realizable numerical algorithm for solving the moment system in a finite-volume code is proposed, valid for dilute systems wherein frictional forces are negligible. The ability of the proposed model to describe polydisperse gas–particle systems is demonstrated using cluster-induced turbulence and riser flow.

Comments

This is a manuscript of an article published as Kong, Bo, and Rodney O. Fox. "A moment-based kinetic theory model for polydisperse gas–particle flows." Powder Technology (2019). DOI: 10.1016/j.powtec.2019.04.031. Posted with permission.

Copyright Owner

Elsevier B.V.

Language

en

File Format

application/pdf

Available for download on Tuesday, April 20, 2021

Published Version

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