Asiagbe, K.S., Colombo, M. orcid.org/0000-0002-4335-4250, Fairweather, M. et al. (1 more author) (2020) Computational modeling 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 modeling closures.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2020 American Institute of Chemical Engineers. This is an author-produced version of a paper subsequently published in AIChE Journal. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | breakup; bubble coalescence; Eulerian-Lagrangian; large eddy simulation; microbubbles |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 10 May 2022 12:27 |
Last Modified: | 11 May 2022 09:41 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/aic.17017 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:186584 |