Asachi, M, Behjani, MA, Nourafkan, E et al. (1 more author) (2021) Tailoring particle shape for enhancing the homogeneity of powder mixtures: Experimental study and DEM modelling. Particuology, 54. pp. 58-68. ISSN 1674-2001
Abstract
The effect of particle shape modification on the segregation reduction of enzyme granules in laundry detergent powder mixtures was investigated, both experimentally and computationally using Deseret Element Method (DEM). The shape of modified enzyme particles was in such a way that the large and dense enzyme particles were layered by other fine particles in the detergent powder, by means of a process known in the literature as “seeded granulation”. It is found that the homogeneity of modified enzyme particles could be improved significantly comparing to the original spherical enzyme particles in powder mixtures. Overall, the results of this research demonstrated that the segregation-induced properties of the dense/spherical enzyme particles could be lowered by altering their shape, which could enable the enzyme particles to behave almost similar to other ingredients during the pile formation process.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved. This is an author produced version of an article published in Particuology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Segregation; minimisation; Particle shape modification; Seeded granulation; Near-infrared spectroscopy; Laundry detergent powders; Discrete Element Method |
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 Innovate UK fka Technology Strategy Board (TSB) 31587-233189 |
Depositing User: | Symplectic Publications |
Date Deposited: | 24 Jun 2020 13:27 |
Last Modified: | 24 Feb 2025 10:40 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.partic.2020.03.006 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162147 |
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