2011
DOI: 10.1016/j.jpowsour.2010.09.029
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Pore-network simulations of two-phase flow in a thin porous layer of mixed wettability: Application to water transport in gas diffusion layers of proton exchange membrane fuel cells

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Cited by 53 publications
(47 citation statements)
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“…Sinha and Wang 24 demonstrated, based on a pore-network model, that liquid water will preferentially flow through connected GDL hydrophilic networks, which could be responsible for the flooding of pores. Pore network simulations have shown that, as hydrophilic pore ratio increases, gas diffusion will decrease 25 and performance of PEMFC will decline. 26 Therefore, the fraction of hydrophilic pores is a key parameter for mass transport losses, a criterion for an optimum content of PTFE.…”
Section: Introductionmentioning
confidence: 99%
“…Sinha and Wang 24 demonstrated, based on a pore-network model, that liquid water will preferentially flow through connected GDL hydrophilic networks, which could be responsible for the flooding of pores. Pore network simulations have shown that, as hydrophilic pore ratio increases, gas diffusion will decrease 25 and performance of PEMFC will decline. 26 Therefore, the fraction of hydrophilic pores is a key parameter for mass transport losses, a criterion for an optimum content of PTFE.…”
Section: Introductionmentioning
confidence: 99%
“…(Bradford et al, 1997;Tsakiroglou and Fleury, 1999;Jackson et al, 2003;Gladkikh and Bryant, 2006;Kuttanikkad et al, 2011;Tsakiroglou, 2014). Under mixed-wet conditions, that characterize the majority of natural porous media (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, more sophisticated models focusing only on the water transport in the GDL domain and its implications on gas transport have been developed, based either on pore network modeling, 26,27 two-phase Lattice Boltzmann models, 14,[27][28][29] or other approaches. 30,31 These models incorporate the complex geometry of the GDL on the pore scale (from X-ray micro-tomography or artificial reconstructions), but their validity is unclear due to assumptions needed e.g.…”
mentioning
confidence: 99%