Vivacqua, V, López, A, Hammond, R et al. (1 more author) (2019) DEM analysis of the effect of particle shape, cohesion and strain rate on powder rheometry. Powder Technology, 342. pp. 653-663. ISSN 0032-5910
Abstract
Discrete Element Method (DEM) is used to simulate the flow of particles addressing the influence of shear strain rate, particle shape and cohesion on the flow characteristics. For this purpose, the dynamics of particle motion in the Freeman Technology FT4 rheometer is analysed. The simulations are first validated by comparison with experiments with cohesive particles, i.e. silanised glass beads, from the literature. Particles with faceted shapes, sharp corners and edges are then simulated and found to require significantly higher energy to flow compared to spherical particles. The presence of truncated vertices, typical of active pharmaceutical ingredients, influences the flow behaviour drastically. The results of this analysis therefore reveal the importance of considering the actual particle shape in DEM simulations when faceted particles are considered. Finally, a rheological model describing the relationship between the dimensionless shear stress and the inertial number for several particle shapes, cohesion values and blade tip speeds is proposed. The outcome of this study may lead to a unified rheological description of powder flow, which incorporates the effect of cohesion, shape and shear strain rate.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 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: | Flowability; DEM; Freeman FT4; Faceted particles; Cohesion; Shear strain rate |
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: | 13 Dec 2018 12:13 |
Last Modified: | 19 Oct 2019 00:39 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.powtec.2018.10.034 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:139853 |