001     872701
005     20240712113233.0
024 7 _ |a 10.1016/j.jpowsour.2020.227828
|2 doi
024 7 _ |a 0378-7753
|2 ISSN
024 7 _ |a 1873-2755
|2 ISSN
024 7 _ |a 2128/24434
|2 Handle
024 7 _ |a WOS:000521510900013
|2 WOS
037 _ _ |a FZJ-2020-00191
082 _ _ |a 620
100 1 _ |a Froning, Dieter
|0 P:(DE-Juel1)5106
|b 0
|e Corresponding author
|u fzj
245 _ _ |a Anisotropic properties of gas transport in non-woven gas diffusion layers of polymer electrolyte fuel cells
260 _ _ |a New York, NY [u.a.]
|c 2020
|b Elsevier
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1621516654_3430
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a For this study, gas transport in the gas diffusion layers of polymer electrolyte fuel cells was analyzed in one through-plane and two in-plane directions. Gas transport was calculated using Lattice Boltzmann simulations, with non-woven gas diffusion layers measured both through-plane and in-plane. The micro structure for the transport simulations was based on a stochastic model that can take into account uncompressed and compressed materials. The micro structure of this kind of gas diffusion layers is superposed by fiber bundles. Their impact on the anisotropy of the in-plane permeabilities was then investigated. Finally, the influence of structural inhomogeneities on in-plane flow was analyzed. Compression has a high influence on through-plane and in-plane permeability. The impact of the fibers bundles is smaller than the impact of local variations of the micro structure according to the stochastic geometry model.
536 _ _ |a 135 - Fuel Cells (POF3-135)
|0 G:(DE-HGF)POF3-135
|c POF3-135
|f POF III
|x 0
536 _ _ |a Stochastic Aspects of Transport Processes in Functional Layers (jiek30_20190501)
|0 G:(DE-Juel1)jiek30_20190501
|c jiek30_20190501
|f Stochastic Aspects of Transport Processes in Functional Layers
|x 1
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Drakselova, Monika
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Tochackova, Anna
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Kodym, Roman
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Reimer, Uwe
|0 P:(DE-Juel1)6697
|b 4
|u fzj
700 1 _ |a Lehnert, Werner
|0 P:(DE-Juel1)129883
|b 5
|u fzj
700 1 _ |a Bouzek, Karel
|0 P:(DE-HGF)0
|b 6
773 _ _ |a 10.1016/j.jpowsour.2020.227828
|g Vol. 452, p. 227828 -
|0 PERI:(DE-600)1491915-1
|p 227828 -
|t Journal of power sources
|v 452
|y 2020
|x 0378-7753
856 4 _ |u https://juser.fz-juelich.de/record/872701/files/Froning-Drakselova-gdl-three-directions.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/872701/files/Froning-Drakselova-gdl-three-directions.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:872701
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)5106
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)6697
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)129883
910 1 _ |a RWTH Aachen
|0 I:(DE-588b)36225-6
|k RWTH
|b 5
|6 P:(DE-Juel1)129883
913 1 _ |a DE-HGF
|b Energie
|l Speicher und vernetzte Infrastrukturen
|1 G:(DE-HGF)POF3-130
|0 G:(DE-HGF)POF3-135
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-100
|4 G:(DE-HGF)POF
|v Fuel Cells
|x 0
913 2 _ |a DE-HGF
|b Programmungebundene Forschung
|l ohne Programm
|1 G:(DE-HGF)POF4-890
|0 G:(DE-HGF)POF4-899
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-800
|4 G:(DE-HGF)POF
|v ohne Topic
|x 0
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1160
|2 StatID
|b Current Contents - Engineering, Computing and Technology
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b J POWER SOURCES : 2017
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b J POWER SOURCES : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IEK-14-20191129
|k IEK-14
|l Elektrochemische Verfahrenstechnik
|x 0
920 1 _ |0 I:(DE-82)080012_20140620
|k JARA-HPC
|l JARA - HPC
|x 1
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IEK-14-20191129
980 _ _ |a I:(DE-82)080012_20140620
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)IET-4-20191129


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21