Investigation of Manufacturing Defects (Catalyst layers & pinholes) in PEMFC Electrode
Notice bibliographique
Résumé
Polymer electrolyte membrane fuel cells (PEMFCs) is promising as an emissions-free energy system with high efficiency and reduced greenhouse gas effects. However, durability and cost are two major factors limiting its commercialization into the market. For a reliable mass production of fuel cell stacks, advance quality control testing methods are required to address the issues associated with the PEMFC materials (catalyst layers(CL), membranes, gas diffusion layer (GDL) electrodes and membrane electrode assemble (MEAs))1. One significant issue effecting the long-term stability of fuel cell stacks are defects that develop during the mass production of catalyst coated membranes (CCMs) and fabrication of MEAs2. Previous work has been done on various real defects existing in CCM production line. These defects were investigated and classified (missing/empty catalyst layers, voids, delamination and cracks) based on shape, size and orientation. Although various studies are conducted in order to measure the impact of some defects on overall performance of the cell, these techniques are limited to particular effects3-4. Here we are presenting a detailed investigation of defects associated with MEA components. An incomplete catalyst layer defect (fig.1b), that is transformed from decal substrate to CCMs and a pinhole, developed across the sealant during the fabrication of MEA is studied under by acceleration stress test (AST)5-6. Propagation of defects at different RH cycling periods (80% RH to 20% RH) on the cathode is performed at open circuit voltage (OCV). During the cyclic OCV, In-situ analysis including down polarization, linear sweep voltammetry (LSV) and Impedance is conducted to measure the degradation of electrode. MEA is also constantly examined using IR camera after 100 RH cycles (fig.1a). It is found that degradation of the defected MEA’s OCV was higher (2.84 mV/h) during short delay in RH cycling (5 mins 80% RH to 5 mins 20% RH) than under long delay in RH cycling (1.80mV/h operated at 5 mins 80% RH to 30 mins 20% RH). AST on cathode shows various levels of chemical degradation rates, leading to an increase in hydrogen gas crossover current (fig.1d) and impedance resistance (fig.1e). The growth of pinhole is studied with respect to hydrogen crossover. Fluctuation in the impedance curve at 7.58 mHz shows the charge transfer effect due to pinhole developed in the membrane. In addition, fluoride ion rate is examined to estimate the degradation of the polymer membrane causing this decrease in OCV. This study helps the fuel cell manufacturer better understand the impact of manufacturing defects and their effect developed during the fabrication process of the electrodes. References: P.K. Das, A.Z. Weber, G. Bender, A. Manak, D. Bittinat, A.M. Herring, and M. Ulsh, J. Power Sources, 261, 401-411 (2014). M. Ulsh, B. Sopori, V. Aieta, N, and G. Bender, Electrochem. Soc., 50, 919-926 (2012). A. Tavassoli, L. Chan, K. Joanna, L. Michael, K. Shanna, W. G. Gary, and K. Erik, J. Power Sources, 322, 17-25 (2016). A. Phillips, M. Ulsh, J. Porter, and G. Bender, Fuel Cells, 17, 288-298 (2017). K. Panha, M. Fowler, X. Z. Yuan, and H. Wang, Appl. Energy, 93, 90-97 (2012). S. Kundu, M. W. Fowler, L. C. Simon, R. Abouatallah, and N. Beydokhti, J. Power Sources, 195, 7323 (2010). Figure 1
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».