Ge, R, Ghadiri, M orcid.org/0000-0003-0479-2845, Bonakdar, T et al. (4 more authors) (2020) Deformation of 3D printed agglomerates: Multiscale experimental tests and DEM simulation. Chemical Engineering Science, 217. 115526. ISSN 0009-2509
Abstract
Agglomerates are widely used in industry, and their mechanical properties are of great interest. In this work, we propose a new concept of using a coordinated multiscale approach to match the physical and digital agglomerate structures and properties. By using a multi-material 3D printing technology, the inter-particle bond properties and agglomerate structures could be precisely controlled and replicated. Quasi-static compression tests have been carried out for the 3D printed samples at different scales. A Timoshenko Beam Bond Model (TBBM) with bond properties matching those of the 3D printed agglomerates is used to describe bond deformations. Discrete Element Method (DEM) is then employed to simulate the agglomerate crushing process. The results show that for both agglomerate structures, the DEM simulation and experimental results show good agreement at the initial elastic deformation stage. This work opens up the chance for significant advances in agglomerate deformation and breakage modelling in future.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 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: | 3D printing; Discrete Element Method (DEM); Agglomerates; Deformation |
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: | 19 Feb 2020 14:00 |
Last Modified: | 29 Jan 2021 01:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ces.2020.115526 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157178 |
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