Asiagbe, KS, Colombo, M orcid.org/0000-0002-4335-4250, Fairweather, M et al. (1 more author) (2020) Computational modelling of microbubble coalescence and breakup using large eddy simulation and Lagrangian tracking. AIChE Journal, 66 (11). e17017. ISSN 0001-1541
Abstract
The flow of dispersed microbubbles was studied with an Eulerian‐Lagrangian technique using large eddy simulation to predict the continuous liquid flow and Lagrangian tracking to compute bubble trajectories. The model fully accounts for bubble coalescence and breakup and was applied to horizontal and vertical channel flows. With low levels of turbulence, gravity in horizontal, and lift in vertical, channel flows govern the bubble spatial and collision distribution. When turbulence is sufficiently high to, at least partially, oppose bubble preferential concentration, more uniform collision and coalescence distributions are found, although these remain peaked near the wall in both configurations. Almost 100% coalescence efficiency was always found, due to bubbles colliding along similar trajectories, with breakup only recorded in a flow of low surface tension refrigerant R134a. Models like this can provide the required quantitative understanding of the microbubbles complex behavior, as well as supporting the development of more macroscopic modelling closures.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Wiley-VCH GmbH. This is an author produced version of an article published in AIChE Journal. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Eulerian-Lagrangian, large eddy simulation, microbubbles, bubble coalescence, breakup |
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: | 13 Aug 2020 12:36 |
Last Modified: | 16 Jun 2022 14:25 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/aic.17017 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:164351 |