Afkhami, M, Hassanpour, A, Fairweather, M et al. (1 more author) (2015) Particle Agglomeration and Dispersion in Fully-coupled Turbulent Channel Flow Using Large Eddy Simulation and Discrete Element Method. In: Procedia Engineering. The 7th World Congress on Particle Technology (WCPT7), 19-22 May 2014, Beijing, China. Elsevier , 780 - 789.
Abstract
The work described in this paper employs large eddy simulation and the discrete element method to study particle-laden flows, including particle dispersion and agglomeration, in a horizontal channel. The particle-particle interaction model used is based on the Hertz-Mindlin approach with Johnson-Kendall-Roberts cohesion to allow the simulation of Van der Waals forces in the dry air flow considered. The influence of different particle surface energies, particle size, particle concentration and flow Reynolds numbers on particle agglomeration is investigated. The turbulent structure of the flow is found to dominate the motion of the particles, although the agglomeration rate is found to be strongly influenced by all of the variables noted above, 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: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license |
Keywords: | Large eddy simulation; discrete element method; particles; agglomeration; channel flow. |
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) > Institute for Particle Science and Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Oct 2015 16:23 |
Last Modified: | 30 Oct 2015 16:23 |
Published Version: | http://dx.doi.org/10.1016/j.proeng.2015.01.188 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.proeng.2015.01.188 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88210 |