Stavrou, AG, Hare, C, Hassanpour, A orcid.org/0000-0002-7756-1506 et al. (1 more author) (2020) Investigation of powder flowability at low stresses: Influence of particle size and size distribution. Powder Technology, 364. pp. 98-114. ISSN 0032-5910
Abstract
At moderate stresses, shear cells are the preferred method of powder flow measurement. However, several industrial processes operate at low stresses, where the determination of unconfined yield strength by the shear cell technique may be inconsistent, or found not to correlate with observed behaviour. Alternatively, ball indentation can be used, which directly measures hardness; related to unconfined yield strength by the constraint factor. However, it is not known how constraint factor is influenced by particle properties. Here, ball indentation and shear cell methods are applied for glass beads of various size distributions, and the influence of particle size distribution on the constraint factor is explored. The constraint factor is shown to be independent of the pre-consolidation stress, though reduces as the d10, d50 or d90 are increased. Unconfined yield strength inferred from indentation measurements suggest that extrapolation of shear cell data to low stresses overestimates the unconfined yield strength.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 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: | Powder flowability; Low consolidation stresses; Ball indentation; Shear cell; Particle size; Particle size distribution |
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: | 03 Apr 2020 11:58 |
Last Modified: | 23 Jan 2021 01:39 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.powtec.2020.01.068 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:159111 |
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