Alizadeh Behjani, M, Motlagh, YG, Bayly, AE orcid.org/0000-0001-6354-9015 et al. (1 more author) (2020) Assessment of blending performance of pharmaceutical powder mixtures in a continuous mixer using Discrete Element Method (DEM). Powder Technology, 366. pp. 73-81. ISSN 0032-5910
Abstract
This study proposes a new sample-independent mixing index, termed the Coefficient of Blending Performance (CBP), for monitoring the formation of undesired API (Active Pharmaceutical Ingredient) agglomerates in continuous mixing processes. The proposed index is examined for the blending of pharmaceutical powders in a simulated twin-screw mixer using Discrete Element Method (DEM). Model excipient and API particles with physical and mechanical properties within the typical range of pharmaceutical powders are used in simulations. Results suggest that the CBP is an effective index for monitoring the formation of API agglomerates in the mixer. Using this index, DEM results suggest a high possibility of formation of API agglomerates during the first stage of twin screw mixing. The results show that adding a kneading zone to the twin screw mixer enhances the blending quality by breaking the API agglomerates, making the mixture ready for the next operating unit.
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 a paper published in Powder Technology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Twin screw mixer; Discrete Element Method; Active pharmaceutical ingredient; Mixing index; Agglomeration; Surface energy |
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: | 21 Feb 2020 11:12 |
Last Modified: | 07 Nov 2020 01:39 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.powtec.2019.10.102 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157493 |