Njobuenwu, DO and Fairweather, M (2015) Quadrant and Conditional Analyses of Non-spherical Particle Segregation in a Turbulent Channel Flow. In: Procedia Engineering. 7th World Congress on Particle Technology, 19-22 May 2014, Beijing, China. Elsevier , pp. 123-132.
Abstract
Turbulent flows transporting particles of different sizes and shapes can be found in many natural and industrial systems. In understanding such flows, it is important to identify the mechanisms responsible for the dispersion, segregation and deposition on solid surfaces of particles with different shapes, and of specific interest here how such particles interact with near-wall coherent turbulent structures (outward motion, ejection, inward motion and sweep). Results from large eddy simulation coupled with Lagrangian particle tracking are used together with conditional statistics (probability density function and scatter plots) in quadrants to study the distribution of fluid, particle and slip velocity fluctuations. The results, though challenging to analyse, give insight into the values of the quadrants and how these distributions reveal the mechanisms responsible for particle segregation in the near-wall region.
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; turbulence; non-spherical particles; particle segregation; sweep-ejection event |
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) |
Funding Information: | Funder Grant number EPSRC EP/I003010/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Jan 2016 13:51 |
Last Modified: | 23 Jun 2023 21:57 |
Published Version: | http://dx.doi.org/10.1016/j.proeng.2015.01.113 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.proeng.2015.01.113 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:93494 |