Computational simulation data using the Lattice Boltzmann method to generate correlations for gas diffusion layer parameters

Abstract

Analyzing the fluid behavior in complex porous media like gas diffusion layers (GDLs) in polymer electrolyte fuel cells (PEFCs) can be accurately done using the lattice Boltzmann method (LBM). This article shows the data obtained from a study in which diffusion parameters such as porosity, gas phase tortuosity and diffusibility are computed considering simulated porous media [1]. The data were computed when a water drop obstacle is placed inside the GDL domain and the size of the water-drop is varied. Additionally, figures showing the evolution of the flow velocity field are presented alongside graphics that presents the change in local and bulk porosity for each obstacle size. Finally, there is a detailed method explanation concerning the implementation of the lattice Boltzmann method and a general description of computational codes for the domain and obstacle generation as well as the boundary conditions simulation. Data and processes in this article can be exploited in new attempts to solve real case problems in complex mesoscale media.

Evaluation of geometric tortuosity for 3D digitally generated porous media considering the pore size distribution and the A-star algorithm

“…Considering that a porous medium in the real world depends on several microstructural characteristics that often come from irregular geometries, an adequate value of tortuosity would not be reached only the porosity is considered. As demonstrated in the computational research presented by Espinoza-Andaluz et al 32 , tortuosity depends not only on the effective porosity but also on the particle shape of the media. The effect of the morphological characteristics on porous media properties is also analyzed by other studies [33][34][35] .…”