Pore-scale prediction of transport properties in lithium-ion battery cathodes during calendering using DEM and CFD simulations

Sandooghdar, S., Chen, J., Asachi, M. orcid.org/0000-0002-9112-4839 et al. (4 more authors) (2025) Pore-scale prediction of transport properties in lithium-ion battery cathodes during calendering using DEM and CFD simulations. Powder Technology, 453. 120601. ISSN 0032-5910

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Item Type: Article
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© 2025 The Authors. 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: Lithium-ion batteries; Calendering; Discrete Element Method; Computational fluid dynamics; Porous media properties; Electrochemical-thermal performance
Dates:
  • Accepted: 27 December 2024
  • Published (online): 6 January 2025
  • Published: 15 March 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds)
The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds)
The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 20 Jun 2025 14:57
Last Modified: 20 Jun 2025 14:57
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.powtec.2024.120601
Open Archives Initiative ID (OAI ID):

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