Bennett, J.D., Wilson, M.C.T. orcid.org/0000-0002-1058-2003, Kapur, N. et al. (3 more authors) (2024) Computational modeling and experimental validation of pressure drop through multi-layered woven screens for polymer melts. Chemical Engineering Research and Design, 209. pp. 323-333. ISSN 0263-8762
Abstract
Woven screens are commonly used in filtration processes that involve molten polymer. Predicting the initial pressure drop through these screens is crucial for selecting an appropriate filtration system, as it directly affects the efficiency and cost-effectiveness in industrial processes. Existing computational models for predicting pressure drop through woven screens have not been developed for multi-layered configurations. This study develops an accurate and reliable methodology for using computational fluid dynamics (CFD) to model the pressure drop through a multi-layered screen. The computational model is validated through an experimental set-up.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Polymer melt processes; Screen filters; Porous media modeling; Computational fluid dynamics |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Computation Science & Engineering The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Thermofluids, Surfaces & Interfaces (iETSI) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Aug 2024 09:21 |
Last Modified: | 18 Oct 2024 14:04 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.cherd.2024.08.002 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:216293 |