Bhonsale, S, Scott, L, Ghadiri, M orcid.org/0000-0003-0479-2845 et al. (1 more author) (2021) Numerical Simulation of Particle Dynamics in a Spiral Jet Mill via Coupled CFD-DEM. Pharmaceutics, 13 (7). 937. ISSN 1999-4923
Abstract
Spiral jet mills are ubiquitous in the pharmaceutical industry. Breakage and classification in spiral jet mills occur due to complex interactions between the fluid and the solid phases. The study of these interactions requires the use of computational fluid dynamics (CFD) for the fluid phase coupled with discrete element models (DEM) for the particle phase. In this study, we investigate particle dynamics in a 50-mm spiral jet mill through coupled CFD-DEM simulations. The simulations showed that the fluid was significantly decelerated by the presence of the particles in the milling chamber. Furthermore, we study the particle dynamics and collision statistics at two different operating conditions and three different particle loadings. As expected, the particle velocity was affected by both the particle loading and operating pressure. The particles moved slower at low pressures and high loadings. We also found that particle–particle collisions outnumbered particle–wall collisions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | spiral jet mills; discrete element models; computational fluid dynamics |
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 KU Leuven Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 24 Jun 2021 11:48 |
Last Modified: | 25 Jun 2023 22:41 |
Status: | Published online |
Publisher: | MDPI |
Identification Number: | 10.3390/pharmaceutics13070937 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:175546 |