Cao, H, Jia, X orcid.org/0000-0001-8590-7477, Li, Y et al. (2 more authors) (2020) CFD-DNS simulation of irregular-shaped particle dissolution. Particuology, 50. pp. 144-155. ISSN 1674-2001
Abstract
A coupled approach between the conventional computational fluid dynamics platform COMSOL and an in-house-developed direct numerical simulation code DigiDiss is presented to study the dissolution kinetics of an irregular-shaped particle in a stirred cuvette. The complex flow dynamics from COMSOL were imported into DigiDiss as an initial flow condition. A digitised 3D particle structure scanned and reconstructed by X-ray micro-tomography was used in the dissolution simulation. A quantitative assessment of the simulation results was made using as a reference experimental data and a theoretical calculation based on the shrinking spherical model with different flow velocity profiles near the particle. The comprehensive agreement demonstrates the coherence of the simulation method in reproducing the experimental behaviour and is seen as a step closer towards developing a computer software design aide to help with formulation development.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved. This is an author produced version of an article published in Particuology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Single particle dissolution; Computational fluid dynamics; Direct numerical simulation; X-ray micro-tomography |
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: | 20 Feb 2020 14:04 |
Last Modified: | 24 Oct 2020 00:39 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.partic.2019.08.003 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157390 |