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Record W1977849786 · doi:10.1115/fuelcell2009-85123

Liquid Water Removal Process in PEM Fuel Cell Cathode

2009· article· en· W1977849786 on OpenAlexaff
Xiaojing Liu, Biao Zhou

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsProton exchange membrane fuel cellVolume of fluid methodCathodeMaterials scienceProcess (computing)Fuel cellsTwo-phase flowFlow (mathematics)Computer scienceChemical engineeringNuclear engineeringMechanicsEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

In this paper, water behaviors in both the gas flow channels and porous layer at the cathode side of a PEMFC are studied. VOF (Volume of Fluid) method and UDF (User-Defined-Function) are applied. A multi-phase three-dimensional fuel cell cathode side model is constructed with a serpentine shape channel and a porous layer attached to it. Fluid will be allowed to pass through both domains as it can in the real fuel cell system. Parameters of the porous layer will be introduced to the model by the user defined function. The detailed liquid water removal process in this model will be presented, and since the water behaviors in a fuel cell is proved to be one of the most important factors influencing the fuel cell performance, this model can be a good starting point to make more advanced models to investigate fuel cell performance.

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)0.000
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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 communication0.0000.001
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 head0.005
GPT teacher head0.197
Teacher spread0.192 · 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
Published2009
Admission routes1
Has abstractyes

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