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Record W2799615324 · doi:10.1149/ma2018-01/44/2558

Investigation of Manufacturing Defects (Catalyst layers & pinholes) in PEMFC Electrode

2018· article· en· W2799615324 on OpenAlexaff
Arkhat Muneendra Prasad, Michael Fowler, Mark Pritzker

Bibliographic record

VenueECS Meeting Abstracts · 2018
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMembrane electrode assemblyProton exchange membrane fuel cellMaterials scienceLinear sweep voltammetryCathodeElectrodeComposite materialFabricationElectrolyteChemical engineeringCyclic voltammetryCatalysisChemistryElectrical engineeringElectrochemistryOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

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

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.210
Teacher spread0.197 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueECS Meeting Abstracts→Same topicFuel Cells and Related Materials→French-language works237,207→