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<p>In this study, the impact of cracks in the gas diffusion layer (GDL) is investigated on mass transport properties. The analysis is conducted using the lattice Boltzmann method (LBM). Stochastic reconstruction is employed on carbon-paper GDL structures to analyze flow behavior within a centrally located crack. Both crack width and depth, particularly the latter, profoundly influence vital mass transport properties such as gas permeability, diffusivity, and tortuosity. To account for uncertainties in cracked GDL parameters, uncertainty quantification (UQ) is conducted using the non-intrusive polynomial chaos method. This methodology assesses the impact of GDL thickness, porosity, crack width, and crack depth on the mass transport properties. Parameters such as thickness, porosity, crack width, and crack depth are modeled as Gaussian distributed random variables, with mean values established at <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\:100\:\mu\:m\)</EquationSource> </InlineEquation> for thickness, 0.6 for porosity, <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\:20\:\mu\:m\)</EquationSource> </InlineEquation> for crack width, and <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\:50\:\%\)</EquationSource> </InlineEquation> for crack depth, respectively. To capture variability, a standard deviation of <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(\:\pm\:5\:\%\)</EquationSource> </InlineEquation> is utilized, facilitating a thorough examination of their effects on transport behavior. The findings reveal that porosity, crack width, and crack depth are paramount in influencing the mass transport properties of the GDL.</p>

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Uncertainty Quantification for Mass Transport Properties in Cracked Gas Diffusion Layer

  • 期刊论文

  • 发表日期：

    2025年9月29日

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  • Khanh-Hoan Nguyen,
  • Kyoungsik Chang

摘要

In this study, the impact of cracks in the gas diffusion layer (GDL) is investigated on mass transport properties. The analysis is conducted using the lattice Boltzmann method (LBM). Stochastic reconstruction is employed on carbon-paper GDL structures to analyze flow behavior within a centrally located crack. Both crack width and depth, particularly the latter, profoundly influence vital mass transport properties such as gas permeability, diffusivity, and tortuosity. To account for uncertainties in cracked GDL parameters, uncertainty quantification (UQ) is conducted using the non-intrusive polynomial chaos method. This methodology assesses the impact of GDL thickness, porosity, crack width, and crack depth on the mass transport properties. Parameters such as thickness, porosity, crack width, and crack depth are modeled as Gaussian distributed random variables, with mean values established at \(\:100\:\mu\:m\) for thickness, 0.6 for porosity, \(\:20\:\mu\:m\) for crack width, and \(\:50\:\%\) for crack depth, respectively. To capture variability, a standard deviation of \(\:\pm\:5\:\%\) is utilized, facilitating a thorough examination of their effects on transport behavior. The findings reveal that porosity, crack width, and crack depth are paramount in influencing the mass transport properties of the GDL.