2009
DOI: 10.1016/j.electacta.2008.08.068
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Pore-network analysis of two-phase water transport in gas diffusion layers of polymer electrolyte membrane fuel cells

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Cited by 112 publications
(91 citation statements)
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“…This is typically done by calculating a saturation or liquid pore-volume fraction using relationships such as the Leverett J-function [5][6][7][8][9], and then using the saturation to modify the intrinsic or dry-medium transport properties using relations like those of Corey [10], (Brooks-Corey) [11], Van Genuchten [12], or Bruggemann [13][14][15]. The more intricate porelevel modeling [16][17][18][19][20][21][22][23][24] has allowed the calculation of various transport properties from a handful of statistical structural properties such as pore-and throat-size distributions, porosity, and bulktransport measurements including saturated permeabilities. While these models can provide some fundamental understanding of water percolation and movement, they are limited by a lack of measurements of the nonuniform chemical (i.e., wettability) distribution at the pore level.…”
Section: Introductionmentioning
confidence: 99%
“…This is typically done by calculating a saturation or liquid pore-volume fraction using relationships such as the Leverett J-function [5][6][7][8][9], and then using the saturation to modify the intrinsic or dry-medium transport properties using relations like those of Corey [10], (Brooks-Corey) [11], Van Genuchten [12], or Bruggemann [13][14][15]. The more intricate porelevel modeling [16][17][18][19][20][21][22][23][24] has allowed the calculation of various transport properties from a handful of statistical structural properties such as pore-and throat-size distributions, porosity, and bulktransport measurements including saturated permeabilities. While these models can provide some fundamental understanding of water percolation and movement, they are limited by a lack of measurements of the nonuniform chemical (i.e., wettability) distribution at the pore level.…”
Section: Introductionmentioning
confidence: 99%
“…Another approach that does not rely on this assumption or constitutive relationships, but instead models the percolation process directly, is the pore network model. Lee et al observed the effect of compression on the saturation profile in the GDL which took a more linear shape under increasing compression [17]. The assumptions on the construction of the network and how the geometry changes under compression meant that the pore-entry pressure for liquid was unaffected in the through-plane direction but increased in the lateral in-plane directions thus creating preferential flow in the through-plane direction.…”
Section: Introductionmentioning
confidence: 99%
“…Excluding edge effects the average effective capillary tube diameter is calculated for all cases in both in-plane (x) and through-plane (y) directions and plotted as a function of compression ratio in Figure 7. Figure 8 shows the numerically calculated permeability according to Darcy's Law plotted against compression ratio along with a simplified K-C type permeability utilising the average effective capillary tube diameter and Equation (17). Here a constant value of C = 2.31 is used and Archie's Law is used for the tortuosity for lack of a better approximation that holds over the compression range.…”
Section: Single-phase Studymentioning
confidence: 99%
“…The network model has been used as tool to access the effective permeability, diffusivity, and capillary pressure on the PTL, since it is difficult to determine them experimentally due to the nonuniform flow distribution (15,21,22). This properties can later incorporated into a system-level fuel cell model.…”
Section: Pore-network Model and Simulationmentioning
confidence: 99%
“…The network model has been used to simulate particular percolation scenarios such as oil recovery (18), drug delivery (19) water transport in soil (20), fuel cells (13,16,(21)(22)(23)(24)(25)(26), among others. In the case of modeling liquid water movement in fuel cell, this approach has been validated against data obtained in carefully designed percolation experiments on porous layers with similar wetting and morphological properties to PTLs (27,28).…”
Section: Pore-network Model and Simulationmentioning
confidence: 99%