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Enregistrement W3116640004 · doi:10.1149/ma2020-02332128mtgabs

X-Ray Computed Tomography Visualization of Electrode Morphology Changes during Start-up/Shut-Down Cycling in Polymer Electrolyte Fuel Cells

2020· article· en· W3116640004 sur OpenAlexaffabout
Jonas Stoll, Erik Kjeang, Francesco P. Orfino, Monica Dutta

Notice bibliographique

RevueECS Meeting Abstracts · 2020
Typearticle
Langueen
DomaineEngineering
ThématiqueFuel Cells and Related Materials
Établissements canadiensSimon Fraser University
Organismes subventionnairesnon disponible
Mots-clésMaterials scienceAnodeElectrolyteCathodeElectrodeDegradation (telecommunications)Scanning electron microscopeChemical engineeringComposite materialChemistryComputer science

Résumé

récupéré en direct d'OpenAlex

Optimization of polymer electrolyte fuel cells can be achieved with detailed characterization of the operational behavior of the catalyst layer (CL). Moreover, understanding its operational degradation due to the changes to its multi-scale, composite structure is important for durability improvements and retaining high fuel cell performance over time. Start-up/shut-down (SU/SD) cycles are known to induce temporarily high, oxidizing potentials at the cathode electrode due to a propagating hydrogen-air front along the anode active area. These high potentials cause carbon corrosion and catalyst layer degradation [1], which can be observed during the lifetime of a test cell using advanced imaging techniques. Scanning electron microscopy (SEM) has typically been used to characterize the CL structure since it provides high contrast and high-resolution imaging [2]. However, SEM requires considerable sample handling, sample is destroyed during preparation, is limited to 2D visualization, and can suffer from edge effects, which makes segmentation and interpretation of CL lifetime degradation studies difficult. In contrast, the use of X-ray computed tomography (XCT) allows 3D and 4D non-intrusive imaging. This virtual dataset allows visualization of internal fuel cell components, such as the CL, over the test lifetime. To date, XCT studies on CL degradation have investigated changes instigated by voltage cycling accelerated stress testing; as well as in-operando imaging to obtain water distribution [3,4]. The objective of the present work is to assess temporal and local morphological electrode degradation effects caused by SU/SD cycling via 4D identical-location micro-XCT imaging with a custom, small scale fuel cell fixture. The results are compared against the equivalent case for voltage cycling in order to elucidate any differences in the specific degradation phenomena. In addition, impacts of gas flow distribution and anode/cathode channel alignment on local degradation is being investigated. Physical changes in the cathode-CL were periodically measured from beginning of life (BOL) to end of life (EOL), as shown in Figure 1, and correlated to the corrosion of the carbon support structure and platinum dissolution. The resultant data indicates a gradual degradation of the cathode-CL. Furthermore, the subsequent morphological changes were in good agreement with the losses in fuel cell performance and the deterioration of the electrochemical surface area. A similar degradation trend was observed in the voltage-cycling degradation study reported previously by our team [3]. However, a variance in the degradation of landing versus channel regions between these two studies exists. Where in this work more degradation was observed under the channel region, whereas, more degradation in the channel was observed in the voltage-cycling study. This contrast can be resolved when one considers that the cell voltage in the voltage-cycling study was applied uniformly under constant gas flow, while the degradation from the SU/SD cycling is influenced by the movement of the reacting gases along the anode active area. At BOL, the studied cathode-CL featured local variations in thickness with mud-cracks randomly distributed across the active area. Upon SU/SD cycling, the most corrosion of the carbon support structure and platinum dissolution was observed at thin cathode-CL regions along pre-existing crack formations. In addition, the gas flow distribution impacts with reduced channel reactant flow and reduced anode/cathode landing alignment were investigated. It was found that an overall increased cathode-CL degradation by SU/SD cycling occurred in the flow channel with reduced reactant flow, while misalignment of the anode/cathode landing did not influence the CCL degradation, compared to the regular aligned cells. Overall, the in situ electrochemical diagnostics and micro-XCT results showed direct relationships between carbon corrosion, platinum dissolution and electrode capacitance loss from SU/SD cycling. These morphological observations are thus believed to be responsible for much of the performance degradation during SU/SD cycling. Acknowledgements This research was supported by Natural Sciences and Engineering Research Council of Canada, Canada Foundation for Innovation, British Columbia Knowledge Development Fund, Automotive Partnership Canada, Ballard Power Systems, Canada Research Chairs, Western Economic Diversification Canada, and Simon Fraser University References 1. Macauley, et al., J. Electrochem. Soc. 2018;165(6):F3148–60. Tavassoli, et al., J. Power Sources 2016;322:17–25. White, et al., J. Power Sources 2017;350:94–102. White, et al., Sci. Rep. 2019;9(1):1–12. 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 enseignants0,002
Score d'incertitude au seuil0,004

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
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
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 Opus0,008
Tête enseignante GPT0,205
Écart entre enseignants0,197 · 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
Publié2020
Routes d'admission2
Résumé présentoui

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