The Impacts of Image Resolution on Permeability Simulation of Gas Diffusion Layer Using Lattice Boltzmann Method

Abstract

The impacts of image resolution on permeability simulation of gas diffusion layer using lattice Boltzmann method his item ws sumitted to voughorough niversity9s snstitutionl epository y theGn uthorF Citation: tsxxeD pF FFF @et lFAD PHIPF he impts of imge resoluE tion on permeility simultion of gs diffusion lyer using lttie foltzmnn methodF snX ondr¡ kD tFD xov¡ kD F nd f § D F @edsFAF roeedings of PHIP IQth snterntionl gonferene on edvned ftteriesD eumultors nd puel gells @efep IQAD frnoD gzeh epuliD PTEQH eugustF Additional Information:• he iletrohemil oietyD snF PHIRF ell rights reservedF ixept s provided under FF opyright lwD this work my not e reproduedD resoldD distriutedD or modified without the express permission of he iletrohemil oiety @igAF he rhivl version of this work ws pulished inX ig rnstionsD PHIRD RV @IAD ppF WQEIHIF The effect of image resolution on gas permeability through the x-ray reconstructed carbon paper gas diffusion layer (GDL) of a polymer electrolyte fuel cell (PEFC) is examined in this paper. The 3D models of the GDL at six different resolutions are obtained by the x-ray tomography imaging technique. Each GDL image is then characterized its gas permeability through the lattice Boltzmann (LB) numerical method. The results suggest that the image resolution has a great impact on gas permeability in both principal and off-principal flow directions. The coarser resolutions can contribute to significant changes in the resulting permeability. However, it can reduce computational time to a great extent. The results also indicate that the GDL image at the resolution of 2.72 µm provides a good compromise between computational time and accuracy.

The Effect of Fiber Orientation on Stochastic Reconstruction and Permeability of a Carbon Paper Gas Diffusion Layer

“…There have been many previous papers that have reported the 3D reconstruction of GDL using the X-ray method [3][4][5][6][7][8][9][10]. For example, Koido et al [4] obtained carbon paper GDL (Toray TGP-H-060) by microfocal X-ray CT using a thinning algorithm of an image processing technique to extract the connectivity number for constructing the pore network.…”

“…In their reconstructed GDL, which consists of fibers with binder, void space even water was presented by X-ray CT for investigating transport porosities in [3,9]. The effects of image resolution of carbon paper GDL on gas permeability were investigated by Jinuntuya et al [10]. In [11], to obtain the complete GDL with MPL, they obtained the MPL structure by a nano-scale X-ray CT and the combined GDL-MPL structure by using micro X-ray CT.…”

Effect of tomography resolution on the calculated microscopic properties of porous materials: Comparison of sandstone and carbonate rocks

“…One factor that has a profound effect on the simulation results is image resolution [6][7][8] . Relatively low resolution can be sufficient for rocks with large pore throats, e.g.…”