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Enregistrement W4416600771 · doi:10.1016/j.ijhydene.2026.155837

Membrane Integrity in the Presence of Foreign Particles in the Membrane Electrode Assembly

2025· article· en· W4416600771 sur OpenAlexafffundabout
Nitish Kumar, Amin Bahrami, Yixuan Chen, Ethan Allan Brown, Francesco P. Orfino, Monica Dutta, Michael Lauritzen, Erin Setzler, Alexander Agapov, Erik Kjeang

Notice bibliographique

RevueInternational Journal of Hydrogen Energy · 2025
Typearticle
Langueen
DomaineEngineering
ThématiqueFuel Cells and Related Materials
Établissements canadiensSimon Fraser University
Organismes subventionnairesWestern Economic Diversification CanadaBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCanada Foundation for InnovationW. L. Gore and AssociatesBallard Power Systems
Mots-clésProton exchange membrane fuel cellMembraneDurabilityParticle (ecology)Membrane electrode assemblyElectrodeCathodeCatalysis

Résumé

récupéré en direct d'OpenAlex

Cost-effective, large-scale production of reliable proton exchange membrane fuel cells (PEMFCs) is crucial to meet growing green energy demands. High-throughput production of PEMFCs relies on heavy machinery, which may inadvertently introduce foreign particles into the membrane electrode assembly (MEA) and affect PEMFC durability and performance 1–3 . A wide variety of particles could conceivably be introduced into the MEA and may or may not be detected. Thus, understanding the potential impacts of these particles is essential. The objective of the present work is to determine the impacts of foreign particle dimensions, shape, hardness, and chemical composition on membrane integrity and durability in PEMFCs. To accommodate a suitably wide range of particles for testing, the study focuses on assessing the nature and extent of membrane damage upon fuel cell assembly, conditioning, and initial operation as well as the prospects of mitigation. Composite material (CM) spheres with diameters of 5, 15, 60, and 100 µm along with 500 µm spherical glass beads, 50 µm slightly oxidized iron (Fe) particles, and stainless steel 316L particles of 50 and 500 µm were selected for this research. The particles were strategically placed between a mechanically reinforced GORE-SELECT® membrane (MemA) and the cathode catalyst layer. An MEA was fabricated using the particle-laden catalyst coated membrane (CCM) and assembled within a small-scale fixture (SSF) fuel cell. Non-invasive 3D characterization through X-ray computed tomography 4 imaging revealed that CM particles completely dissolved when measuring up to 15 µm in diameter, creating pinhole-like voids in the CCM. Additionally, a slightly oxidized Fe particle of approximately 55±5 µm also showed complete dissolution, demonstrating that the dissolution of particles was mainly determined by their chemical composition and, to a lesser extent, their size. Larger particles, specifically those measuring 100 µm or more, caused damage in the MEA structure, including deformation of the gas diffusion layer (GDL) and a torus-shaped void in the catalyst layer. Early fabrication damage during the decal transfer process was commonly noted, especially as the surface features of the particles became increasingly random. Additionally, as the size and hardness of the particles increased, especially the SS316L 500 µm particles, significant permanent membrane rupture, GDL damage, and cavities in the MEA were observed. Figure 1 illustrates the types of observed MEA damage associated with particle sizes. As the particle size increased, the prevalence of some damage types also rose, highlighting the importance of mitigating damage from larger particles. Performance analysis indicated that cyclic voltammetry and polarization curve data could effectively identify early cell failures caused by damage incurred by the particles. Different shapes and surface morphologies of SS316L particles were further tested with a thinner chemically and mechanically reinforced GORE-SELECT® membrane (MemB) for mitigation purposes, as they caused the maximum damage to the MemA MEA. It was found that MemB could accommodate all four selected particles, despite varying degrees of surface randomness, without any membrane ruptures after the decal transfer phase. However, significant permanent damage to other MEA components remained evident. Keywords: Quality control, cost reduction, X-ray computed tomography, foreign particles Acknowledgments This research was supported by the Natural Sciences and Engineering Research Council of Canada, Canada Foundation for Innovation, British Columbia Knowledge Development Fund, Western Economic Diversification Canada, Ballard Power Systems, and W.L. Gore & Associates. This research was undertaken, in part, thanks to funding from the Canada Research Chairs program. References J. Chen, H. Liu, Y. A. Huang, and Z. Yin, J. Manuf. Process. , 23 , 175–182 (2016). M. Bahrami et al., J. Electrochem. Soc., 170 , 114527 (2023). N. Kumar et al., J. Electrochem. Soc. , 171 , 074513 (2024) Y. Singh, F. P. Orfino, M. Dutta, and E. Kjeang, J. Electrochem. Soc. , 164 , F1331–F1341 (2017). 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 enseignants0,001
Score d'incertitude au seuil0,003

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 savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,000
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 Opus0,009
Tête enseignante GPT0,238
Écart entre enseignants0,229 · 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
Publié2025
Routes d'admission3
Résumé présentoui

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