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Enregistrement W4230151499 · doi:10.1149/ma2019-02/34/1514

Mechanical Characterization of Catalyst Coated Membranes Subjected to Isolated Chemical Degradation in PEM Fuel Cells

2019· article· en· W4230151499 sur OpenAlexaboutno aff
Sandeep Bhattacharya, Jeremy Leung, Michael Lauritzen, Erik Kjeang

Notice bibliographique

RevueECS Meeting Abstracts · 2019
Typearticle
Langueen
DomaineEngineering
ThématiqueFuel Cells and Related Materials
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMembraneElectrolyteDegradation (telecommunications)Chemical engineeringChemical stabilityChemistryIonomerMembrane electrode assemblyProton exchange membrane fuel cellHydrogen peroxideHydrogenChemical decompositionRadicalMaterials scienceElectrodePolymerOrganic chemistry

Résumé

récupéré en direct d'OpenAlex

The lifetime of polymer electrolyte membrane (PEM) fuel cells is governed by the operational stability of the membrane electrode assembly (MEA). Under dynamic automotive operating conditions and duty cycles, the membrane is subjected to chemical and mechanical degradation, which cause hydrogen leaks and ultimate cell failure. Chemical degradation is generally accepted as the key factor in the membrane decay process where membrane stability is affected by the formation of reactive radicals [1] and their attack on the ionomer molecular structure in the membrane [2]. H2O2 formed at the electrodes during fuel cell operation may diffuse into the membrane and decompose into hydroxyl radical ( . OH) via the Fenton’s reaction mechanism in presence of Fe2+ [3], commonly present as traces in membranes due to fabrication and/or operation-induced contamination. Low relative humidity (RH), and high temperature, reactant gas pressures and cell voltages accelerate the chemical degradation [1,4]. Steady-state open circuit voltage (SOCV) conditions are widely used in accelerated stress tests (AST) to intensify chemical stressors. In SOCV conditions, an Fe-ion redox cycle is generated in the MEA to preserve a relatively high Fe2+ concentration in the membrane, which leads to the most severe chemical membrane degradation through the Fenton mechanism [5,6]. Previously, the effects of isolated chemical degradation were exhibited at relatively mild stress levels at 90% RH (lifetime: 497 hours) and 100% RH (lifetime: 643 hours) where end-of-life (EOL) CCMs fractured at low strains right after passing their yield point during ex situ tensile tests [9]. In this work, an in situ SOCV-based AST with high stress levels and moderate humidity conditions were applied to induce pure chemical membrane degradation and establish its induced gradual decay in mechanical properties. Fluoride loss, an indication of global chemical degradation, increased steadily for the entire duration of the AST upto 140 hours (EOL). SEM investigations revealed gradual thinning of the membrane; however, no cracks were observed in the membrane. Previously, membranes subjected to pure mechanical degradation [7] and combined chemical and mechanical degradation [8-9] depicted localized damage (cracks and holes) that were incorporated due to RH cycling. Such features were not evident in the present work under isolated chemical stress. Thereafter, ex situ tensile experiments were performed with periodically extracted, partially AST-degraded CCM samples under both room (25oC, 50% RH) and fuel cell conditions (70oC, 90% RH). A dynamic mechanical analyzer (TA Instruments Q800 DMA) equipped with an environmental chamber was used. Reductions in ultimate tensile strength and fracture strain were observed as a function of AST operation time. Hygrothermal expansion test results revealed an overall decay in hygral expansion at 70oC of 33%, whereas the decay in thermal expansion at 90% RH was 40%. This was comparable to the results of CCMs subjected to pure mechanical degradation [7], where the hygral expansion decay from BOL upto 20,000 RH cycles was 33-50%, and a 50%-decay occurred in thermal expansion. For CCMs subjected to combined chemical and mechanical degradation, the decay in hygral expansion was only 25-30%, whereas 80% decay in thermal expansion was observed [8]. In summary, the observed microstructure-property relationship revealed the crucial role of chemical degradation by means of membrane thinning. Acknowledgements This research was supported by Mitacs through the Accelerate program, Ballard Power Systems, Natural Sciences and Engineering Research Council of Canada (NSERC), Canada Foundation for Innovation, British Columbia Knowledge Development Fund, Western Economic Diversification Canada and Simon Fraser University. This research was undertaken, in part, thanks to funding from the Canada Research Chairs program. References [1] A. Collier, H. Wang, X. Ziyuan, J. Zhang, D. Wilkinson, Int. J. Hydrogen Energy, 31 (2006) 1838-1854. [2] A. Bosnjakovic, S. Schlick, J. Phys. Chem. B, 108 (2004) 4332-4337. [3] M. Inaba, T. Kinumoto, M. Kiriake, R. Umebayashi, A. Tasaka, Z. Ogumi, Electrochim. Acta, 51 (2006) 5746-5753. [4] C. S. Gittleman, F. D. Coms, Y. Lai, in Polymer Electrolyte Fuel Cell Degradation (Eds: M. M. Mench, E. C. Kumbur, T. N. Veziroglu), Elsevier Inc., 2012, pp. 15-88. [5] K.H. Wong, E. Kjeang, J. Electrochem. Soc. 161 (2014) F823-F832. [6] K.H. Wong, E. Kjeang, Chem. Sus. Chem. 8 (2015) 1072-1082. [7] A. Sadeghi Alavijeh, R.M.H. Khorasany, Z. Nunn, A. Habisch, M. Lauritzen, E. Rogers, G.G. Wang, E. Kjeang, J. Electrochem. Soc. 162 (2015) F1461-F1469. [8] A. Sadeghi Alavijeh, M.A. Goulet, R. Khorsany, J. Ghataurah, C. Lim, M. Lauritzen, E. Kjeang, G. G. Wang, R. K.N. D. Rajapakse, Fuel Cells, 15 (2015) 204-213. [9] N. Macauley, A. Sadeghi Alavijeh, M. Watson, J. Kolodziej, M. Lauritzen, S. Knights, G. Wang, E. Kjeang, J. Electrochem. Soc. 162 (2015) F98-F107.

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 enseignants0,001
Score d'incertitude au seuil0,003

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
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,006
Tête enseignante GPT0,188
Écart entre enseignants0,182 · 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'admission1
Résumé présentoui

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