Alfano, FO, Di Renzo, A, Di Maio, FP et al. (1 more author) (2021) Computational analysis of triboelectrification due to aerodynamic powder dispersion. Powder Technology, 382. pp. 491-504. ISSN 0032-5910
Abstract
Triboelectric charging can strongly influence bulk powder flow behaviour, and hence its characterization is of great interest for safe manufacturing operations. In a recent development, the use of an aerodynamic disperser, employing a pressure pulse to disperse a small powder quantity, shows a great potential for inducing triboelectric charge transfer. We analyse this process by coupled Discrete Element Method and Computational Fluid Dynamics (DEM-CFD) simulations, incorporating triboelectric charge transfer. The simulations are based on property data of glass ballotini as model particles, together with those of α-lactose monohydrate (α-LM) and aspirin, as powders of practical interest. The characteristics of particle-particle and particle-wall collisions are analysed in detail. The analysis shows that pharmaceutical particles charge significantly more than glass ballotini. The charge-to-surface area ratio is remarkably constant and close to its equilibrium value for each test material. Overall, the analysis provides a great insight on the triboelectric charging by aerodynamic dispersion.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021, Elsevier B.V. All rights reserved. This is an author produced version of an article published in Powder Technology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Triboelectric charging; Powder dispersion; Computational modelling; Pharmaceutical powders; Discrete element method; MFIX-DEM |
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: | 02 Feb 2021 11:40 |
Last Modified: | 12 Jan 2022 01:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.powtec.2021.01.011 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:170669 |
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Licence: CC-BY-NC-ND 4.0