Njobuenwu, DO and Fairweather, M (2015) Preferential Concentration of Inertial Fibres in a Turbulent Channel Flow. In: Simos, TE, Kalogiratou, K and Monovasilis, T, (eds.) AIP Conf. Proc. 1702. International Conference of Computational Methods in Sciences and Engineering 2015 (ICCMSE 2015), 20-23 Mar 2015, Athens, Greece. American Institute of Physics , 080009-080009. ISBN 978-0-7354-1349-8
Abstract
Large eddy simulation (LES) is developed to study particle preferential concentration, in which an initially uniform distribution of inertial particles spontaneously segregates into clusters in a turbulent flow, driven primarily by the small-scale turbulent fluctuations and slip velocity. Dynamic modelling of sub-grid scale effects on the LES and Langevin-type sub-grid scale modelling of particle motion ensures particle clustering is well captured, which is computational cheap when compared to fully-resolved simulations. Results shows that prediction of particle clustering near walls due to turbophoresis is strongly depended on (i) the particle inertia, where particle inertia is parameterised by its Stokes number, (ii) particle shape, parameterised by its aspect ratio, (iii) binning method and (iv) simulation time.
Metadata
Item Type: | Proceedings Paper |
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Copyright, Publisher and Additional Information: | (c) 2015, AIP Publishing LLC. This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. The following article appeared in Njobuenwu, DO and Fairweather, M (2015) Preferential Concentration of Inertial Fibres in a Turbulent Channel Flow. In: Simos, TE, Kalogiratou, K and Monovasilis, T, (eds.) AIP Conf. Proc. 1702. International Conference of Computational Methods in Sciences and Engineering 2015 (ICCMSE 2015), 20-23 Mar 2015, Athens, Greece. American Institute of Physics , 080009-080009, and may be found at http://doi.org/10.1063/1.4938804. |
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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: | 22 Jun 2016 14:31 |
Last Modified: | 16 Jan 2018 13:14 |
Published Version: | http://doi.org/10.1063/1.4938804 |
Status: | Published |
Publisher: | American Institute of Physics |
Identification Number: | 10.1063/1.4938804 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:97806 |