Goh, WP, Ghadiri, M, Muller, F et al. (5 more authors) (2017) Stress analysis of an agitated particle bed with different particle aspect ratios by the discrete element method. In: Radjai, F, Nezamabadi, S, Luding, S and Delenne, JY, (eds.) EPJ Web of Conferences. Powders and Grains 2017 – 8th International Conference on Micromechanics on Granular Media, 03-07 Jul 2017, Montpellier, France. EDP Sciences
Abstract
The size distribution, shape and aspect ratio of particles are the common factors that affect their packing in a particle bed. Agitated powder beds are commonly used in the process industry for various applications. The stresses arising as a result of shearing the bed could result in undesirable particle breakage with adverse impact on manufacturability. We report on our work on analysing the stress distribution within an agitated particle bed with several particle aspect ratios by the Discrete Element Method (DEM). Rounded cylinders with different aspect ratios are generated and incorporated into the DEM simulation. The void fraction of the packing of the static and agitated beds with different particle aspect ratios is analysed. Principal and deviatoric stresses are quantified in the regions of interest along the agitating impeller blade for different cases of particle aspect ratios. The relationship between the particle aspect ratio and the stress distribution of the bed over the regions of interest is then established and will be presented.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © The Authors, published by EDP Sciences, 2017. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
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 AbbVie Inc (Kristal) C86631 |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Aug 2017 11:20 |
Last Modified: | 23 Jun 2023 22:33 |
Status: | Published |
Publisher: | EDP Sciences |
Identification Number: | 10.1051/epjconf/201714006022 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:119899 |