Pradhan, S.U., Zhang, Y., Li, J. et al. (2 more authors) (2019) Tailored granule properties using 3D printed screw geometries in twin screw granulation. Powder Technology, 341. pp. 75-84. ISSN 0032-5910
Abstract
Twin screw granulation is becoming increasingly relevant due to its compact size, continuous and robust mode of operation, customizable design, and flexible production capacity. This work describes the experimental study undertaken to understand the dependence of granule properties on the screw element design in a twin screw granulator. A CAD geometry analysis of the free volume in the granulator revealed that there is a direct quantitative correlation between the screw geometry and the maximum size and aspect ratio of the granules obtained using conveying elements. Conveying element geometries with different pitch lengths were 3D printed to generate cost-effective prototypes of the designs. Wet granulation experiments were performed using the 3D printed designs to test the hypothesis that the correlation between the granule shape and maximum granule size and the screw element geometry is predictable a priori. The feasibility of 3D printing method for fabricating new screw element designs is examined. Quality-by-Design strategies and scale-up criteria for twin screw granulation are discussed.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Elsevier. This is an author produced version of a paper subsequently published in Powder Technology. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | 3D printing; Conveying elements; Twin screw granulation; Quality-by-design |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 22 Jan 2018 11:59 |
Last Modified: | 10 Nov 2020 17:53 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.powtec.2017.12.068 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:126475 |
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Licence: CC-BY-NC-ND 4.0