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 by DEM modelling. Chemical Engineering Science, 211. 115307. ISSN 0009-2509
Abstract
Ball indentation is a technique capable of assessing powder flowability down to very low consolidation stresses (≤1 kPa). With this method, powder flowability is determined by measuring the hardness of a powder bed, which allows the unconfined yield strength to be inferred via the constraint factor. The latter is well established for continuum materials, whereas for particulate systems its dependency on stress level and powder properties is not well defined. This work investigates these factors by simulating the ball indentation method using DEM. The constraint factor is shown to be independent of pre-consolidation stress. Constraint factor generally increases with interface energy for relatively cohesionless powders, though not for cohesive powders. An increase in plastic yield stress leads to a decrease in the constraint factor. Increasing the coefficient of interparticle static friction reduces the constraint factor, while increasing the coefficient of inter-particle rolling friction significantly increases the constraint factor.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Chemical Engineering Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Powder flowability; Low consolidation stresses; Ball indentation; Shear cell; DEM 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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 28 Feb 2020 12:12 |
Last Modified: | 21 Oct 2020 00:39 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ces.2019.115307 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157792 |
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Filename: DEM paper Stavrou et al., 2019_author_accepted_version.pdf
Licence: CC-BY-NC-ND 4.0