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Enregistrement W2509225467 · doi:10.1149/ma2016-02/38/2841

Evolution of Membrane Degradation in Fuel Cells Observed By X-Ray Computed Tomography

2016· article· en· W2509225467 sur OpenAlexaffabout
Dilip Ramani, Yadvinder Singh, Monica Dutta, Erik Kjeang

Notice bibliographique

RevueECS Meeting Abstracts · 2016
Typearticle
Langueen
DomaineEngineering
ThématiqueFuel Cells and Related Materials
Établissements canadiensSimon Fraser University
Organismes subventionnairesnon disponible
Mots-clésDegradation (telecommunications)MembraneMaterials scienceCharacterization (materials science)Open-circuit voltageChemical engineeringTomographyScanning electron microscopeComposite materialBiological systemNanotechnologyVoltageChemistryComputer scienceOpticsElectrical engineering

Résumé

récupéré en direct d'OpenAlex

Perfluorosulfonic acid (PFSA) ionomer membranes are subjected to simultaneous chemical and mechanical degradation under fuel cell operation. Open circuit voltage (OCV) operation is typically employed as an in-situ accelerated stress test (AST) to expedite the chemical degradation which plays a key role in membrane thinning. The in-situ mechanical degradation is typically produced using wet/dry humidity cycles leading to micro crack initiation/propagation in the membrane [1]. Characterization of morphological changes in the membrane electrode assembly (MEA) is helpful in understanding the degradation mechanisms at play during fuel cell operation. 2D visualization techniques, such as optical and electron microscopy [2], have typically been used to determine the structural features of the MEA. However, these techniques are destructive and 2D in nature, and demand elaborate sample preparation. The X-ray computed tomography (XCT) technique overcomes these limitations by integrating several 2D images acquired at diverse incident angles into a virtual 3D image. Furthermore, modern XCT systems achieve sub µm resolution which is adequate for imaging membrane cracks and other damage features. In this work, the XCT technique is employed to investigate the structural evolution of membrane degradation over time in the presence of combined chemical and mechanical stressors. Additionally, the observed trends are correlated with various material and diagnostic properties to develop a better understanding of the degradation patterns. Partially degraded MEAs extracted after different numbers of operating cycles when subjected to cyclic open circuit voltage (COCV) AST protocol are visualized using the XCT technique and the evolution of membrane degradation is studied by mapping the 3D structural/morphological changes over time. Crack distribution and morphology are examined from various perspectives by studying the 2D planar and cross-sectional views of the 3D reconstructed images. No through-thickness membrane crack is detected up to 60% of the MEA lifetime which suggests that sizeable crack development occurs mainly during the 60-85% period of the MEA lifetime. A detailed survey exhibits eight cracks at end of life (EOL) and five cracks at 85% degradation across a survey area of 0.44 mm2. All identified membrane cracks are observed to have a single distinct fragment of X or I-shape on the surface of the membrane. The X-cracks in their initial stage of development observed after 85% degradation are likely to grow along their width, while I-cracks tend to be slender, as shown in Figure 1. In addition, about 31% of cracks after 85% degradation and 50% of cracks at EOL are exclusive membrane cracks without any connectivity with the catalyst layers. The membrane crack width is almost uniform along its length after 85% degradation but has greater variation along the length at EOL resulting in an increased maximum crack width to crack length ratio likely caused by in-plane stresses [3]. The rapid decrease in the fracture strain of the membrane during the AST suggests increasing brittleness, which represents the most pronounced change in the mechanical properties [4]. This illustrates that the membrane encounters reduced mechanical strength and leads to more branching of cracks with increasing AST cycles. The combined effect of mechanical and chemical degradation is likely to have created favorable conditions for crack initiation and propagation inside the mechanically weakened membrane. The work summarized here is a unique attempt to study the evolution of membrane degradation with a 3D perspective. These new findings demonstrate that adoption of XCT technology can provide a distinct advantage in understanding the pattern of membrane degradation, thereby enabling the capture of critical failure modes that may be invoked at different stages of fuel cell operation. Acknowledgement This research was funded by the Natural Sciences and Engineering Research Council of Canada, Canada Foundation for Innovation, British Columbia Knowledge Development Fund, and Ballard Power Systems through an Automotive Partnership Canada (APC) grant. References [1]R.M.H. Khorasany, A.S Alavijeh, E. Kjeang, G.G. Wang, R.K.N.D. Rajapakse. J. Power Sources 274 (2015) 1208-1216 [2]K.S Alcantara, D.C. Martınez-Casillas, K.B. Zheng, Q. Zhu, M. Abdellah, D. Haase, T. Pullerits, O. Solorza-Feria, S.E. Canton. Int. J. Hydrogen Energy, 39 (10) 5358–5370. [3]Y. Singh, O. Luo, F.P. Orfino, M. Dutta, E. Kjeang, 3D Analysis of PEM Fuel Cell Membrane Cracks using X-Ray Computed Tomography, in: 228th Meet. Electrochem. Soc., Phoenix, 2015. [4] C. Lim, L. Ghassemzadeh, F. Van Hove, M. Lauritzen, J. Kolodziej, G.G. Wang, S. Holdcroft, E. Kjeang. J. Power Sources. 257 (2014) 102. 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)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
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 Opus0,010
Tête enseignante GPT0,183
Écart entre enseignants0,174 · 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'étudeObservationnel
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
Publié2016
Routes d'admission2
Résumé présentoui

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