Afkhami, M, Hassanpour, A orcid.org/0000-0002-7756-1506 and Fairweather, M (2019) Effect of Reynolds number on particle interaction and agglomeration in turbulent channel flow. Powder Technology, 343. pp. 908-920. ISSN 0032-5910
Abstract
The work described in this paper employs large eddy simulation and a discrete element method to study turbulent particle-laden channel flows at low concentrations (particle volume fraction 10−4–10−5), including particle dispersion, collision and agglomeration. Conventional understanding of such flows is that particle interactions are negligible, this work however demonstrates that such interactions are common at large Stokes numbers in turbulent flow. The particle-particle interaction model is based on the Hertz-Mindlin approach with Johnson-Kendall-Roberts cohesion to allow the simulation of cohesive forces in a dry air flow. The influence of different flow Reynolds numbers, and therefore the impact of fluid turbulence, on agglomeration behaviour is investigated. The agglomeration rate is found to be strongly influenced by the flow Reynolds number, with most of the particle-particle interactions taking place at locations close to the channel walls, aided by the higher turbulence levels and concentration of particles in these regions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2018, Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Powder Technology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Large Eddy simulation; Discrete Element Method; Two-phase Flow; Agglomeration; Channel |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Dec 2018 15:24 |
Last Modified: | 12 Nov 2019 01:39 |
Status: | Published |
Publisher: | Elsevier BV |
Identification Number: | 10.1016/j.powtec.2018.11.041 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140256 |