Characterisation of the diffusion properties of metal foam hybrid flow-fields for fuel cells using optical flow visualisation and x-ray computed tomography
The flow distribution behaviour of open-cell metallic foam fuel cell flow-fields are evaluated using ex-situ optical
analysis and X-ray computed tomography (X-ray CT). Five different manifold designs are evaluated and flow distribution and pressure drop quantitatively evaluated with reference to applications in polymer exchange membrane fuel cells (PEMFC) and heat exchangers. A ‘hybrid’ foam flow-field is presented consisting of flow channels pressed into the foam to promote flow
distribution and reduce pressure drop. Cross- and through-channel pressure drop measurements are conducted, along with X-ray CT analysis. Results using dyed water show that metallic foams provide excellent fluid distribution across the fuel cell
flow-field, closely following the theoretical filling rate. The time for dye to cover 80% of the flow-field area was
61% faster with a foam flow-field then with no flow-field present. Pressure drop was seen to reduce with increasing foam inlet area to levels comparable to multi-serpentine flow-fields. The introduction of flow channels in the foam can further reduce pressure drop and provide more even filling of the foam, at the expense of
increased residence time.
Funding
This work has been funded by the Engineering and Physical Sciences Research Council (EPSRC) under grant number EP/M023508/1 ‘Innovative concepts from electrode to stack’
History
School
Aeronautical, Automotive, Chemical and Materials Engineering
Department
Aeronautical and Automotive Engineering
Published in
Journal of Power Sources
Volume
395
Pages
171 - 178
Citation
FLY, A. ...et al., 2018. Characterisation of the diffusion properties of metal foam hybrid flow-fields for fuel cells using optical flow visualisation and x-ray computed tomography. Journal of Power Sources, 395, pp. 171-178.
This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/
Acceptance date
2018-05-21
Publication date
2018-05-26
Notes
This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/