File(s) under permanent embargo

Reason: This item is currently closed access.

An x-ray tomography based lattice Boltzmann simulation study on gas diffusion layers of polymer electrolyte fuel cells

journal contribution
posted on 21.08.2015, 14:11 by Pratap Rama, Yu Liu, Rui ChenRui Chen, Hossein Ostadi, Kyle Jiang, Xiaoxian Zhang, Rosemary Fisher, Michael Jeschke
This work reports a feasibility study into the combined full morphological reconstruction of fuel cell structures using X-ray computed micro- and nanotomography and lattice Boltzmann modeling to simulate fluid flow at pore scale in porous materials. This work provides a description of how the two techniques have been adapted to simulate gas movement through a carbon paper gas diffusion layer (GDL). The validation work demonstrates that the difference between the simulated and measured absolute permeability of air is 3%. The current study elucidates the potential to enable improvements in GDL design, material composition, and cell design to be realized through a greater understanding of the nano- and microscale transport processes occurring within the polymer electrolyte fuel cell.

Funding

This research was supported by the UK Technology Strategy Board (TSB Project No.: TP/6/S/K3032H). We acknowledge industrial partners AVL List GmbH, Intelligent Energy Ltd., Johnson Matthey Fuel Cells Ltd., Saati Group Inc. and Technical Fibre Products Ltd. for their support of this work.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

JOURNAL OF FUEL CELL SCIENCE AND TECHNOLOGY

Volume

7

Issue

3

Pages

? - ? (12)

Citation

RAMA, P. ... et al, 2010. An x-ray tomography based lattice Boltzmann simulation study on gas diffusion layers of polymer electrolyte fuel cells. Journal of Fuel Cell Science and Technology, 7 (3), 031015.

Publisher

© ASME

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2010

Notes

This article is closed access.

ISSN

1550-624X

Language

en

Usage metrics

Keywords

Exports