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Enregistrement W2200488109 · doi:10.1149/ma2015-01/1/74

On the Mass-Transfer Properties of Partially-Saturated Carbon-Paper Gas Diffusion Layers: Global Vs. Local Effective Diffusivity

2015· article· en· W2200488109 sur OpenAlexaffabout
Jeff T. Gostick, Pablo A. García‐Salaberri, Gisuk Hwang, Marcos Vera, Adam Z. Weber

Notice bibliographique

RevueECS Meeting Abstracts · 2015
Typearticle
Langueen
DomaineEngineering
ThématiqueFuel Cells and Related Materials
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésThermal diffusivityLattice Boltzmann methodsGaseous diffusionCapillary actionMass transferSaturation (graph theory)Proton exchange membrane fuel cellAnalytical Chemistry (journal)Materials scienceChemistryMembraneComposite materialMechanicsThermodynamicsPhysicsChromatography

Résumé

récupéré en direct d'OpenAlex

Understanding the impact of liquid water on reactant transport in Gas Diffusion Layers (GDLs) is of paramount importance to achieving an increased performance in Proton Exchange Membrane Fuel Cells (PEMFCs). In the present work, X-ray Computed Tomography (XCT) was combined with the Lattice Boltzmann Method (LBM) to determine the gas-phase effective diffusivity of partially-saturated carbon-fiber GDLs. Ex-situ invasion experiments were conducted on a PTFE–treated Toray® TGP-H 120 GDL (10% b.w.) at Lawrence Berkeley National Lab’s (LBNL) Advanced Light Source (ALS) synchrotron (Beamline 8.3.2). Water was injected into the sample at different applied capillary pressures varying the static head of water at the bottom face, while tomographic images were acquired at a resolution of 1.33 μm/voxel. A hydrophobic membrane located at the top of the sample prevented liquid water from leaving the system. The reconstructed image stacks were then segmented into fiber, air and liquid phases, and used as computational meshes for the LB simulations. A single relaxation time D3Q7 model was implemented in the open-source LB code Palabos, using the supercomputers Gullimin and Colosse, managed by Calcul Québec and Compute Canada, to run the calculations. The diffusivities in both the in- and through-plane directions were examined due to the anisotropic nature of carbon-paper materials (see Figure 1). It was found that the effective diffusivity in thin GDLs is strongly dependent upon the actual saturation distribution across the material. Unlike the notable number of connected pathways existing in the in-plane direction, the influence of water configuration was higher on through-plane diffusion. A severe bottleneck effect, preventing almost any flux through the medium, was observed for the full-thickness sample due to the high-gradient saturation profiles in the invasion experiments. In contrast, a pronounced increase of the global effective diffusivity was observed in calculations performed on GDL domains progressively excluding a thicker portion of the flooded region near the inlet. The relative resistance of water in these domains was in the range of that reported in previous works [1,2], even though it didn’t stabilize at a well-defined value. The diffusion flux across the medium continuously increases as the saturation profile in the examined portion of GDL was flatter. The hypersensitivity of the effective diffusivity on the through-plane water distribution shows the impossibility to describe uniquely the transport properties in thin GDLs just considering the overall saturation level. Moreover, continuum models explicitly solving transport processes inside the GDL should incorporate local constitutive relations obtained under conditions of no saturation gradient. It is contradictory to use global correlations extracted from an inhomogeneous porous medium to characterize the numerical nodes composing the same medium. Local and global effective properties can only be equal if the porous medium is fully homogeneous, but this is not the case of partially-saturated finite-size GDLs. This modeling inconsistency was explored by performing a massive computational campaign including more than 2000 calculations on dry and wet subsamples with nearly flat saturation profiles. The computed average relative resistances in the in- and through-plane directions were similar to those proposed in Ref. [3]. Further, the ability of the computed correlations for the local effective diffusivity, using harmonic and arithmetic averaging techniques, to recover the results obtained on global heterogeneous domains was confirmed. A similar constitutive relationship for the local effective diffusivity was also determined by combining the aforementioned upscaling/downscaling techniques and the global pore network results by Gostick [4]. Nevertheless, a detailed comparison with the in-situ numerical results presented in [2] showed that a more restrictive dependence of the local effective diffusivity on local saturation may be expected for the region under the rib due to the more tortuous transport paths resulting from condensation of water and interface effects with the rib in addition to capillary transport. References [1] G. Hwang, A.Z. Weber, J. Electrochem. Soc. 159 (2012) F683–F692. [2] T. Rosén, J. Eller, J. Kang, N.I. Prasianakis, J. Mantzaras, F.N. Büchi, J. Electrochem. Soc. 159 (2012) F536–F544. [3] J.H. Nam, M. Kaviany, Int. J. Heat Mass Transf. 46 (2003) 4595–4611. [4] J.T. Gostick, J. Electrochem. Soc. 160 (2013) F731–F743. Figure 1

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,195
Écart entre enseignants0,184 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2015
Routes d'admission2
Résumé présentoui

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