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Record W2024376876 · doi:10.1149/1.3210588

Membrane Durability and Degradation under Dry Fuel Cell Operation Conditions

2009· article· en· W2024376876 on OpenAlexaff
Jing Li, Keping Wang, Yunsong Yang

Bibliographic record

VenueECS Transactions · 2009
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsAutomotive Fuel Cell Cooperation (Canada)
Fundersnot available
KeywordsMembraneStack (abstract data type)Degradation (telecommunications)Relative humidityDurabilityMaterials scienceCathodeStress (linguistics)Proton exchange membrane fuel cellHumidityComposite materialChemical engineeringChemistryElectrical engineeringEngineeringThermodynamics

Abstract

fetched live from OpenAlex

Membranes are a critical component of the fuel cell stack and must be durable in a wide range of operating conditions. In the present study, PFSA membranes were evaluated using accelerated stress testing (AST) methods of OCV and cyclic OCV under dry conditions at 95 {degree sign}C. PFSA membrane degradation rates were determined by measuring fluorine release rate (FRR) and thickness change under different fuel cell operating conditions. The FRR was found to increase with a decrease in inlet relative humidity (RH) and an increase in stack temperature. The degradation active energy (derived from the Arrherius equation) was approximately 932.8 JK-1mol-1. A cyclic OCV test was designed to simulate membrane degradation caused by both mechanical and chemical stresses. Mechanically reinforced membranes showed much longer lifetime in the COCV test as compared to membranes without reinforcement. Under present operating conditions, membrane degradation is shown to initiate from cathode side.

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 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 score0.403
Threshold uncertainty score0.552

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)0.0010.000

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 head0.007
GPT teacher head0.197
Teacher spread0.190 · 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 teacher head, 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

Citations7
Published2009
Admission routes1
Has abstractyes

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