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Enregistrement W4249944013 · doi:10.1149/ma2019-02/32/1410

Insights into the Evolution of Chemical Degradation in Fuel Cell Membranes Using 4D in Situ Visualization

2019· article· en· W4249944013 sur OpenAlexaffabout
Dilip Ramani, Yadvinder Singh, Robin White, Tylynn Haddow, Francesco P. Orfino, Monica Dutta, Erik Kjeang

Notice bibliographique

RevueECS Meeting Abstracts · 2019
Typearticle
Langueen
DomaineEngineering
ThématiqueFuel Cells and Related Materials
Établissements canadiensSimon Fraser University
Organismes subventionnairesnon disponible
Mots-clésMembraneChemical imagingMaterials scienceDegradation (telecommunications)IonomerMembrane electrode assemblyChemical engineeringPolymerCharacterization (materials science)Composite materialChemistryNanotechnologyElectrodeElectrolyteCopolymerComputer science

Résumé

récupéré en direct d'OpenAlex

Ionomer membrane degradation during fuel cell operation is conjointly produced by three different modes, namely, thermal, mechanical, and chemical. Amongst these, chemical degradation is generally considered a major contributor to lifetime limitations.[1] Chemical degradation of the ionomer membrane is caused by the formation of radical species, such as hydroxyl (OH•) and hydroperoxyl (HOO•) groups, which causes polymer chain scission and unzipping leading to membrane thinning and eventual rupture and shorting events. Furthermore, the chemical degradation deteriorates the mechanical properties of the membrane which dramatically accelerates its overall degradation rate. Scanning electron microscopy (SEM) based studies have been conventionally used to conduct two-dimensional characterization of degradation-induced structural features in fuel cell membranes; however, SEM imaging is inherently destructive and thus prohibits any tracking of structural changes over time. Laboratory-based X-ray computed tomography (XCT) is as an alternative imaging technique, which has not only enabled three-dimensional (3D) membrane failure analysis revealing novel insights on membrane failure [2,3], but has also facilitated studies on damage growth characterization, [4] and more recently on evolutionary aspects of mechanical membrane degradation through identical-location imaging. [5] In the present work, an XCT-based 4D in situ imaging method, featuring three dimensions in space and one dimension in degradation time, is applied to investigate the evolution of pure chemical membrane degradation through the use of a custom designed fixture housing a fully operational small-scale fuel cell. [6] Membrane electrode assemblies (MEAs) with three distinct membrane types, namely, i) non-reinforced, ii) mechanically reinforced, and iii) chemically and mechanically mitigated membranes, are separately examined and compared. The MEAs were subjected to open circuit voltage (OCV) hold under high temperature (75°C) and low humidity (30% RH) with 0.3 slpm H2 and 0.5 slpm air supplied to anode and cathode, respectively. Various in situ electrochemical diagnostics were periodically performed to monitor MEA and membrane health. XCT-based 3D datasets were obtained at various stages of degradation to facilitate identical location tracking and analysis of membrane morphology as a function of degradation time and enable the characterization of damage evolution in the three membrane types. Membrane thinning and other damage features within all three membranes are comprehensively examined from various perspectives by studying planar and cross-sectional views extracted from the 3D XCT datasets. Preliminary observations show that electrode-shorting under land regions was the key failure mode for membranes without chemical mitigation, i.e., non-reinforced and mechanically reinforced membranes (Fig. 1). In contrast, the chemically mitigated membrane did not fail up to 850 h of operation, highlighting the scavenging effect against the radicals. No membrane pinhole or crack development was observed in any of the three membranes, which is consistent with previous 3D post mortem results under pure chemical degradation.[3] The present 4D in situ imaging approach further revealed locally amplified membrane thinning preceding the eventual formation of shorts due to absence of membrane material and associated loss of electrode separation. The observed phenomenon further suggests that mechanical stresses, even in the absence of wet/dry cycling, may influence the local shorting events. Overall, the new findings from this work demonstrate the distinct advantage of XCT technology towards improving the fundamental understanding of membrane degradation by capturing critical failure modes and mechanisms at their different developmental stages. Acknowledgements This research was supported 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 grant. This research was undertaken, in part, thanks to funding from the Canada Research Chairs program. W. L. Gore & Associates, Inc. is acknowledged for additional support. References [1] W. Chen et al. J. Power Sources 51 (2006) 2391–2399. [2] Y. Singh et al. J. Power Sources 345 (2017) 1–11 [3] Y. Singh et al. J. Electrochem. Soc. 164 (2017) F1331-41 [4] D Ramani et al. J. Electrochem. Soc. 165 (2018) F3200-08 [5] Y. Singh et al. J. Power Sources 412 (2019) 224–37 [6] R.T. White et al. J. Power Sources 350 (2017) 94-102 Figure 1: Cross-sectional identical location MEA images obtained by XCT at beginning of life (BOL) and end of test (EOT) for separate MEAs with: a) non-reinforced; b) mechanically reinforced; and c) chemically and mechanically mitigated membranes subjected to pure chemical degradation. The encircled areas indicate the shorting sites at EOT. 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: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,008
Tête enseignante GPT0,212
Écart entre enseignants0,205 · 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
Publié2019
Routes d'admission2
Résumé présentoui

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