De Santis, A orcid.org/0000-0002-9114-3394, Hanson, BC orcid.org/0000-0002-1720-1656 and Fairweather, M (2021) Hydrodynamics of annular centrifugal contactors: A CFD analysis using a novel multiphase flow modelling approach. Chemical Engineering Science, 242. 116729. p. 116729. ISSN 0009-2509
Abstract
Annular Centrifugal Contactors (ACCs) are a promising process intensification technology for liquid–liquid extraction. Still, there is a limited understanding of the hydrodynamic conditions observed within ACCs and Computational Fluid Dynamics has the potential to shed light on this. However, the presence of a broad range of interfacial scales prevents the use of standard multiphase flow models. Therefore, a generalized multiphase modelling approach has been proposed, which allows for the simulation of multiscale multiphase flows. This approach has been applied to the simulation of a laboratory-scale ACC. It is demonstrated that the approach can provide information on the hydrodynamic behaviour of the system including hold-up, droplet size distribution and residence time; this, in turn, allows evaluation of the mass transfer performance. It is concluded that the modelling technique represents a valuable tool for gaining in-depth understanding of the hydrodynamics of ACCs, thus allowing for the prediction of their performance.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2021 Elsevier Ltd. All rights reserved. This is an author produced version of an article, published in Chemical Engineering Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Annular centrifugal contactors; Liquid-liquid extraction; Computational fluid dynamics; Multiphase flows |
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: | 21 May 2021 10:27 |
Last Modified: | 03 May 2022 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ces.2021.116729 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:174207 |