He, Y, Bayly, AE orcid.org/0000-0001-6354-9015, Hassanpour, A orcid.org/0000-0002-7756-1506 et al. (2 more authors) (2020) Flow behaviour of an agitated tubular reactor using a novel dynamic mesh based CFD model. Chemical Engineering Science, 212. 115333. ISSN 0009-2509
Abstract
Agitated tubular reactor (ATR) is an intensified continuous reactor in which radial mixing is decoupled from axial flow. This study proposed a novel CFD model to study fluid dynamics and mixing mechanisms in the ATR system. It combines a soft-sphere collision model with a dynamic meshing approach to tackle structure-structure and fluid-structure interactions (FSI) simultaneously. Its ability to handle FSI is validated on the sedimentation of a large sphere in a quiescent fluid. A periodic motion of the agitator was predicted, which is mainly driven by collision with the external oscillating tube. The fluid motion is complex, with vortex structures forming behind the agitator at its highest point; and the highest fluid velocities seen as fluid is squeezed under the agitator. Three Reynolds stress models were evaluated and the pressure-strain term shows little influence on the agitator’s motion. Viscous dissipation was found to be the main mechanism for energy dissipation.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Elsevier Ltd. This is an author produced version of a paper published in Chemical Engineering Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | CFD; Fluid-structure interaction; Agitated tubular reactor; Dynamic meshing approach; Reynolds stress model; Process intensification |
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) |
Funding Information: | Funder Grant number EU - European Union 680565 |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Feb 2020 10:30 |
Last Modified: | 04 Nov 2020 01:39 |
Status: | Published |
Publisher: | Elsevier BV |
Identification Number: | 10.1016/j.ces.2019.115333 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156556 |