Hydrodynamic profiles of computed tomography-scanned polydispersed beds produced by sieving
Hydrodynamic profiles of computed tomography-scanned polydispersed beds produced by sieving
Computational Fluid Dynamics (CFD) models are a valuable tool for design, optimization, and scaling-up of fixed bed chemical reactors. However, the realistic representation of the catalytic bed structure and the mesh quality of the 3D geometry is of paramount importance to improve the accuracy of CFD models. For the former, computed tomography (CT) is a non-destructive method to map and generate the internal structure of actual fixed bed reactors, formed by catalytic particles produced by sieving, thus directly coupling experiments with CFD models. Due to the local topological complexity of these beds, however, meshing their entire volume would lead to exhaustive computational demands. To reduce these, a suitable sample section should be selected, which respects the bulk and radial porosity of the full bed as accurately as possible. Three distinct sample sections were quantified here for their accuracy, identifying that, due to the highly heterogeneous nature of the full beds, sample selection is case sensitive. A selected section was then meshed, and its hydrodynamic profile resolved, to evaluate its mesh independency. The results highlight the importance of choosing a suitable bed section and mesh size to reduce the computational demands, minimise the computational errors, and achieve the desired level of solution detail.
Computational Fluid Dynamics (CFD), SAPO-34, catalytic particles, computed tomography (CT), fixed bed chemical reactors, particle-resolved CFD models (PR-CFD), polydispersed beds
Kyrimis, Stylianos
47a25c0c-7579-4e74-963e-e0d4360cd24a
Raja, Robert
74faf442-38a6-4ac1-84f9-b3c039cb392b
Armstrong, Lindsay-Marie
db493663-2457-4f84-9646-15538c653998
2023
Kyrimis, Stylianos
47a25c0c-7579-4e74-963e-e0d4360cd24a
Raja, Robert
74faf442-38a6-4ac1-84f9-b3c039cb392b
Armstrong, Lindsay-Marie
db493663-2457-4f84-9646-15538c653998
Kyrimis, Stylianos, Raja, Robert and Armstrong, Lindsay-Marie
(2023)
Hydrodynamic profiles of computed tomography-scanned polydispersed beds produced by sieving.
10th International Conference on Fluid Flow, Heat and Mass Transfer, Carleton University, Ottawa, Canada.
07 - 09 Jun 2023.
(doi:10.11159/ffhmt23.171).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Computational Fluid Dynamics (CFD) models are a valuable tool for design, optimization, and scaling-up of fixed bed chemical reactors. However, the realistic representation of the catalytic bed structure and the mesh quality of the 3D geometry is of paramount importance to improve the accuracy of CFD models. For the former, computed tomography (CT) is a non-destructive method to map and generate the internal structure of actual fixed bed reactors, formed by catalytic particles produced by sieving, thus directly coupling experiments with CFD models. Due to the local topological complexity of these beds, however, meshing their entire volume would lead to exhaustive computational demands. To reduce these, a suitable sample section should be selected, which respects the bulk and radial porosity of the full bed as accurately as possible. Three distinct sample sections were quantified here for their accuracy, identifying that, due to the highly heterogeneous nature of the full beds, sample selection is case sensitive. A selected section was then meshed, and its hydrodynamic profile resolved, to evaluate its mesh independency. The results highlight the importance of choosing a suitable bed section and mesh size to reduce the computational demands, minimise the computational errors, and achieve the desired level of solution detail.
This record has no associated files available for download.
More information
Published date: 2023
Additional Information:
Funding Information:
The authors would like to thank the Industrial Decarbonisation Research and Innovation Centre (IDRIC), grant number (EP/V027050/1), for their funding. In addition, the authors would like to acknowledge the use of the IRIDIS 5 High Performance Computing Facility, and associated support services at the University of Southampton, in the completion of this work.
Publisher Copyright:
© 2023, Avestia Publishing. All rights reserved.
Venue - Dates:
10th International Conference on Fluid Flow, Heat and Mass Transfer, Carleton University, Ottawa, Canada, 2023-06-07 - 2023-06-09
Keywords:
Computational Fluid Dynamics (CFD), SAPO-34, catalytic particles, computed tomography (CT), fixed bed chemical reactors, particle-resolved CFD models (PR-CFD), polydispersed beds
Identifiers
Local EPrints ID: 478775
URI: http://eprints.soton.ac.uk/id/eprint/478775
PURE UUID: 7b618f21-b8ee-47a3-ba95-7f5de63d4d47
Catalogue record
Date deposited: 10 Jul 2023 16:35
Last modified: 18 Mar 2024 03:04
Export record
Altmetrics
Contributors
Author:
Stylianos Kyrimis
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics