Njobuenwu, DO orcid.org/0000-0001-6606-1912 and Fairweather, M (2017) On the effect of static and dynamic particle size distribution on flow turbulence modulation. In: Wriggers, P, Bischoff, M, Oñate, E, Owen, DRJ and Zohdi, T, (eds.) Particles 2017: V International Conference on Particle-based Methods. Fundamentals and Applications. 5th International Conference on Particle-Based Methods (Particles 2017), 26-28 Sep 2017, Hannover, Germany. International Center for Numerical Methods in Engineering (CIMNE) , pp. 849-858. ISBN 9788494690976
Abstract
The effect of an evolving particle size distribution due to particle agglomeration and breakup, and the direction and absence of gravitational acceleration, on flow turbulence modulation is investigated using large eddy and discrete particle simulation of a turbulent channel flow. The results are compared with the case in which the particle size distribution is static and where only inter-particle collision is allowed. Due to the small particle Stokes number considered, inherent in a solid-liquid flow, and the small simulation time, only small effects were observed for the static versus dynamic particle size distribution on the fluid turbulence. For vertical channel flows, however, the influence of flow direction and gravity lead to different particle segregation patterns which, together with changes in wall shear stresses and mass flow rate due to buoyancy effects, do affect the flow turbulence and the evolution of inter-particle collisions, collision efficiency and agglomerate breakup.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | This is an author produced version of a paper published in the proceedings of Particles 2017: V International Conference on Particle-based Methods. Fundamentals and Applications. All rights reserved. |
Keywords: | Large eddy simulation, Discrete particle simulation, Gravity, Turbulence modulation, Agglomeration, Particle size distribution |
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: | 01 Mar 2018 12:05 |
Last Modified: | 10 Apr 2018 15:37 |
Published Version: | http://congress.cimne.com/particles2017/frontal/do... |
Status: | Published |
Publisher: | International Center for Numerical Methods in Engineering (CIMNE) |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:128011 |