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@ARTICLE{Yang:1025146,
author = {Yang, Danan and Garg, Himani and Beale, Steven B. and
Andersson, Martin},
title = {{N}umerical {R}econstruction of {P}roton {E}xchange
{M}embrane {F}uel {C}ell {G}as {D}iffusion {L}ayers},
journal = {ECS transactions},
volume = {112},
number = {4},
issn = {1938-5862},
address = {Pennington, NJ},
publisher = {[Verlag nicht ermittelbar]},
reportid = {FZJ-2024-02723},
pages = {49 - 61},
year = {2023},
abstract = {Stochastic reconstruction is widely employed for effective
and flexible imitation of Gas Diffusion Layers (GDLs), e.g.,
to facilitate the study of their properties. However, the
reconstruction often overlooks crucial factors such as fiber
curvature, fiber stack arrangement, and fiber anisotropy.
Consequently, the impact of these structural characteristics
remains poorly understood. In this study, an in-house
reconstruction procedure is developed based on the periodic
surface model. This procedure enables the generation of GDLs
with either straight or curved fibers, layer-by-layer or
random arrangement, and different probabilities of
through-plane fiber orientation angles. The porosity, domain
size, and fiber diameter are extracted from an experimental
image-based GDL and utilized as input data for the
reconstruction. Furthermore, the different GDLs are compared
in terms of pore size distribution and through-plane
porosity distribution. It is concluded that introducing
proper selections of these fiber features gives the
reconstruction more realistic properties.},
cin = {IEK-13},
ddc = {540},
cid = {I:(DE-Juel1)IEK-13-20190226},
pnm = {1222 - Components and Cells (POF4-122)},
pid = {G:(DE-HGF)POF4-1222},
typ = {PUB:(DE-HGF)16},
doi = {10.1149/11204.0049ecst},
url = {https://juser.fz-juelich.de/record/1025146},
}