Investigating the Effect of Channel Width and Surface Wettability on Liquid Water Content in PEMFCs Using Synchrotron Radiography
Notice bibliographique
Résumé
Polymer electrolyte membrane (PEM) fuel cells show promise as electrochemical energy conversion devices for transport, stationary, and portable applications. Despite their potential for high efficiencies, the widespread adoption of PEM fuel cells has been hindered by their current durability and cost. These obstacles are related to a lack of fundamental understanding of the water transport mechanisms in the gas diffusion layers (GDLs) [1]. Another aspect in the improvement of fuel cell performance requires an understanding of the effects of flow channel geometry and wettability on water management in the PEM fuel cells. For instance, liquid water transferred from the GDL to the flow channel may be constrained by water slugs in the channel, which may result in increased saturation inside the GDL [2,3]. Moreover, liquid water flux from the GDL can be influenced by the rib/channel geometry due to reaction distribution, heat transport, and water transport [2,3]. In this study, a PEM fuel cell, with an active area of 0.48 cm2, was designed for synchrotron imaging to acquire through-plane radiographs of the cell. Using Toray GDLs coated with an MPL (TGP-H-60), each fuel cell experiment was performed at specified operating conditions controlled with a Scribner 850e test station. Two different channel geometries were studied: one with a channel width of 0.6 mm; the other, 0.2 mm. In addition, the effect of channel wettability was also investigated. For each channel geometry, two sets of bipolar plates were prepared; they were either coated with a hydrophilic or hydrophobic coating. Visualizations of the dynamic liquid water content in operating fuel cells were performed at the Biomedical Imaging and Therapy – Bending Magnet (05B1-1) beamline at the Canadian Light Source Inc. (Saskatoon, Canada) using conventional absorption imaging. A monochromatic X-ray beam set to an energy level of 18 keV was used to acquire two- dimensional radiographs. By applying the principles of the Beer-Lambert law, the raw radiographs were processed to isolate the water content, in the form of a water thickness distribution. The results of the current study aim to improve the understanding of how the channel surface wettability and channel dimensions influence the water management of PEM fuel cells. This is important as the channel water morphology can have an effect on the GDL water distribution, which is linked to the overall fuel cell performance. As the interface between the liquid water in the GDL and the liquid water in the channel is not fully understood, this study will shed light on interface effect by taking advantage of the fine spatial and time resolutions of the synchrotron X-ray radiography. References [1] M. Mathias, J. Roth, J. Fleming, and W.L. Lehnert, "Diffusion media materials and characterisation," in Handbook of Fuel Cells: Fundamentals, Technology, and Applications, W. Vielstich, A. Lamm and H. A. Gasteiger, Eds. Chichester, England; Hoboken, N.J.; Wiley, 2003, pp. 1-21. [2] R. Anderson, L. Zhang, Y. Ding, M. Blanco, X. Bi, and D.P. Wilkinson, "A critical review of two-phase flow in gas flow channels of proton exchange membrane fuel cells," J. Power Sources, 195, pp. 4531-4553, 2010. [3] A. Herescu and J.S. Allen, "The influence of channel wettability and geometry on water plug formation and drop location in a proton excxhange membrane fuel cell flow field," J. Power Sources, 216, pp. 337-344, 2012.
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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 | 0,000 | 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 ».