Ali, M, Mahmud, T, Heggs, P et al. (6 more authors) (2017) Residence Time Distribution of Glass Ballotini in Isothermal Swirling Flows in a Counter-Current Spray Drying Tower. Powder Technology, 305. pp. 809-815. ISSN 0032-5910
Abstract
The particle residence time in counter-current spray drying towers has a significant influence on the moisture content of the powder exiting the tower. Therefore, the reliability of predictions of residence time by numerical methods is highly desirable. A combined experimental and computational fluid dynamics investigation is reported for the prediction of the residence time distributions of glass beads with a narrow size range of 300-425 m in a counter-current tower with isothermal swirling flows of air. The particle-wall collision is taken into account using a rough-wall collision model. Overall, a reasonably good agreement is obtained between the measurements and predictions. Consideration of wall roughness results in greater axial dispersion of particles in the tower compared to a smooth wall assumption. The rough particle-wall collision is important for a reliable prediction of residence time distributions. In addition, analysis of the results infers that the clustering effect of particles on drag and particle-particle interactions are important and should be investigated in a future study.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier B.V. This is an author produced version of a paper published in Powder Technology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Residence time distribution, CFD, Spray Drying, Multiphase Flow Modelling |
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 Innovate UK fka Technology Strategy Board (TSB) TSB101332 |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Oct 2016 10:25 |
Last Modified: | 18 Oct 2017 00:41 |
Published Version: | https://doi.org/10.1016/j.powtec.2016.10.023 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.powtec.2016.10.023 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:106114 |