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Electrophoretic deposition of LiFePO4 and carbon black: A numerical study to explore longitudinal trends using Taguchi design

Lookup NU author(s): Marzio Grasso, Jian Huang, Dr Stevin PramanaORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2024 The Authors. Developing Electrophoretic Deposition (EPD) for Composite Structural Batteries (CSBs) could revolutionise energy storage technology. CSBs offer an innovative solution by seamlessly integrating batteries into structures and effectively reducing weight and space constraints. Despite its successful implementation across various fields, EPD method still lacks comprehensive understanding of the underlying physical and chemical processes due to the number of variables involved. In this study the effects of key parameters associated with the process are investigated with a coupled FEM and analytical approach to find correlations with the deposition process. A Taguchi Design of Experiment with five parameters, namely voltage, concentration, relative weight ratio of LiFePO4 – carbon black particles, length and perimeter of the electrodes is implemented to identify the correlations with mass deposited, thickness of the coating and yield rate when LiFePO4 and Carbon Black particles in ethanol suspension are used. In order to capture the variation over time, each parameter is studied at six different time of deposition. A concentration that optimises yield rate resulting in thickness and mass deposition is identified. The resistivity of the suspension dictates the yield rate dynamics, allowing it to be designed within a specific range to meet requirements of different applications.


Publication metadata

Author(s): Russo S, Grasso M, Huang J, Pramana SS, Gucci F, Shaw C, Leighton GJ

Publication type: Article

Publication status: Published

Journal: Materials and Design

Year: 2024

Volume: 247

Print publication date: 01/11/2024

Online publication date: 09/11/2024

Acceptance date: 07/11/2024

Date deposited: 25/11/2024

ISSN (print): 0264-1275

ISSN (electronic): 1873-4197

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.matdes.2024.113446

DOI: 10.1016/j.matdes.2024.113446

Data Access Statement: Data supporting this study are included within the article and/or supporting materials.


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Funding

Funder referenceFunder name
EPSRC Doctoral Training Partnership [grant number: EP/T518104/1]
Polestar Automotive UK

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