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Record W2315016772 · doi:10.1149/05002.0221ecst

Lattice Boltzmann Modeling of the Effective Thermal Conductivity of an Anisotropic Gas Diffusion Layer in a Polymer Electrolyte Membrane Fuel Cell with Residual Water

2013· article· en· W2315016772 on OpenAlexafffund
J. Yablecki, James Hinebaugh, Aimy Bazylak

Bibliographic record

VenueECS Transactions · 2013
Typearticle
Languageen
FieldEngineering
TopicLattice Boltzmann Simulation Studies
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of TorontoCompute Canada
KeywordsProton exchange membrane fuel cellLattice Boltzmann methodsElectrolyteMaterials scienceThermal conductivityAnisotropyThermal diffusivityThermal conductionPolymerSaturation (graph theory)Gaseous diffusionComposite materialMembraneChemical engineeringThermodynamicsChemistryFuel cells

Abstract

fetched live from OpenAlex

In the present work, the anisotropic effective thermal conductivity of the gas diffusion layer (GDL) of a polymer electrolyte membrane (PEM) fuel cell is determined using a thermal lattice Boltzmann model. Using saturation patterns obtained from three-dimensional (3-D) pore network modeling simulations with invasion percolation, the thermal conductivity of the GDL containing liquid water is determined. For a GDL modeling domain with a total saturation of 24.4% (flooded inlet condition), increases of 20.8% and 5.4% are noted for the through-plane and in-plane thermal conductivities, respectively. As the GDL plays an important role in thermal and water management within a PEM fuel cell, the simulated thermal conductivities determined in this work can provide insight into the effect of the GDL on the thermal management required for improved PEM 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 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 score0.238
Threshold uncertainty score0.447

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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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

Citations3
Published2013
Admission routes2
Has abstractyes

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