Guan, Y, Guadarrama-Lara, R, Jia, X orcid.org/0000-0001-8590-7477 et al. (2 more authors) (2017) Lattice Boltzmann simulation of flow past a spherical/non-spherical particle in a wide range of Reynolds number. Advanced Powder Technology, 28 (6). pp. 1486-1494. ISSN 0921-8831
Abstract
Lattice Boltzmann method was used to predict the fluid-particle interaction for arbitrary shaped particles. In order to validate the reliability of the present approach, simulation of flow past a single stationary spherical, cylindrical or cubic particle is conducted in a wide range of Reynolds number (0.1 < Rep < 3000). The results indicate that the drag coefficient is closely related to the particle shape, especially at high Reynolds numbers. The voxel resolution of spherical particle plays a key role in accurately predicting the drag coefficient at high Reynolds numbers. For non-spherical particles, the drag coefficient is more influenced by the particle morphology at moderate or high Reynolds numbers than at low ones. The inclination angle has an important impact on the pressure drag force due to the change of projected area. The simulated drag coefficient agrees well with the experimental data or empirical correlation for both spherical and non-spherical particles.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. All rights reserved. This is an author produced version of a paper published in Advanced Powder Technology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Lattice Boltzmann method; Spherical particle; Non-spherical particle; Drag coefficient; Low-to-high Reynolds number |
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: | 03 Apr 2017 12:38 |
Last Modified: | 04 Apr 2018 00:38 |
Published Version: | https://doi.org/10.1016/j.apt.2017.03.018 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.apt.2017.03.018 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:114413 |