A moment-based kinetic theory model for polydisperse gas–particle flows

Kong, Bo; Fox, Rodney O.

doi:10.1016/j.powtec.2019.04.031

Title: A moment-based kinetic theory model for polydisperse gas–particle flows

Journal Article · Sat Apr 20 00:00:00 EDT 2019 · Powder Technology

DOI:https://doi.org/10.1016/j.powtec.2019.04.031· OSTI ID:1526288

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Ames Lab. and Iowa State Univ., Ames, IA (United States)

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 introduced. 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. In this work, 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.

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Research Organization:: Ames Laboratory (AMES), Ames, IA (United States)

Sponsoring Organization:: USDOE; National Science Foundation (NSF)

Grant/Contract Number:: AC02-07CH11358; CBET-1437865; ACI-1440443

OSTI ID:: 1526288

Alternate ID(s):: OSTI ID: 1604254

Report Number(s):: IS-J-9944

Journal Information:: Powder Technology, Vol. 365; ISSN 0032-5910

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 11 works

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