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Record W4241353722 · doi:10.1149/ma2015-02/37/1554

Influence of MPL Structure Modification on Fuel Cell Oxygen Transport Resistance

2015· article· en· W4241353722 on OpenAlex
Zijie Lu, James Waldecker, Mickey Tam, Max Cimenti

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueECS Meeting Abstracts · 2015
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsAutomotive Fuel Cell Cooperation (Canada)
Fundersnot available
KeywordsProton exchange membrane fuel cellOxygen transportCathodeLimiting currentOxygenChemical engineeringMaterials scienceChemistryAnalytical Chemistry (journal)ElectrodeCatalysisElectrochemistryChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

Proton exchange membrane fuel cell (PEMFC)) technology is the basis for a promising future automotive powertrain. However, PEMFC cost must be reduced and durability must be improved. The greatest opportunity to reduce cost is to run the fuel cell at high current density while not considerably lowering the cell voltage [1], which requires excellent mass (both oxygen and water) transport in the fuel cell electrode, as well as low ohmic loss. In this work we report the measurement of the resistances to oxygen transport in the fuel cell cathode electrode and the impact of microporous layer (MPL) structure modification on the oxygen transport. The oxygen transport resistance is measured by the limiting current density method [2-4] in a specially designed 5 cm 2 cell using a variety of O 2 concentrations. The total oxygen transport resistance in a fuel cell cathode sums the resistance from the diffusion media and that from the catalyst layer (CL). The CL resistance includes the Knudsen diffusion resistance and the ionomer permeation resistance: R tot = R DM + R CL = R DM + R CL,Knud + R CL,ion , where R DM is quantified by varying the cathode gas pressure [2], and R CL,Knud and R CL,ion can be differentiated by varying the temperature [4]. The effect of MPL modification on the oxygen transport resistance has been studied. Straight holes of 20 mm diameter through the MPL, but not through the carbon fiber substrate, were made by a laser perforation technique. The oxygen transport resistances in the cell with the perforated MPL on the cathode were measured and compared to those in the cell with the baseline MPL. The total oxygen transport resistance depended on the water production rate, revealing a dry region and a dry-to-wet transition for both MPLs in response to the oxygen concentration increase. The MPL modification had little influence on the total transport resistance in the dry region, while the perforated MPL significantly reduced the transport resistance in the dry-to-wet transition region, indicating the perforated MPL improved the cathode water management. It is not clear at this moment whether the increased transport resistance under the wet condition occurs in the diffusion medium or in the catalyst layer. The transport resistance in the CL can only be obtained for the dry conditions and the MPL modification shows little influence on the CL resistance. A trend of decreasing CL resistance with increasing temperature was observed. This temperature effect is mainly attributable to the oxygen permeation in CL ionomer, while the Knudsen diffusion in CL secondary pores is only weakly dependent on temperature. References: DOE Roadmap, 2014. D.R. Baker, D.A. Caulk, K.C. Neyerlin, M.W. Murphy, J. Electrochem. Soc. , 156 , B991 (2009). D.A. Caulk and D.R. Baker, J. Electrochem. Soc. , 157 , B1237 (2010). N. Nonoyama, S. Okazaki, A.Z. Weber, Y. Ikogi, T. Yoshida, J. Electrochem. Soc. , 158 , B416 (2011).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.208
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it