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Record W2079660531 · doi:10.1080/10618560701733707

Multiphase flow model to study channel flow dynamics of PEM fuel cells: deformation and detachment of water droplets

2008· article· en· W2079660531 on OpenAlex

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

VenueInternational journal of computational fluid dynamics · 2008
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMechanicsSurface tensionCapillary numberViscosityReynolds numberMaterials scienceMultiphase flowWeber numberFlow (mathematics)Newtonian fluidDeformation (meteorology)Volume of fluid methodCapillary actionInletOpen-channel flowThermodynamicsPhysicsGeologyComposite materialTurbulence

Abstract

fetched live from OpenAlex

Deformation and detachment conditions for a water droplet adhering to the surfaces of the cathode in PEM fuel cells are investigated. This problem is numerically modelled by considering the dynamic behaviour of a droplet located between two parallel plates. The numerical multiphase flow model is based on solving Navier–Stokes equations for Newtonian fluids in the channel. The study includes the effect of interfacial forces with constant surface tension. The volume-of-fluid method is used to numerically determine the deformation of free surfaces. Water droplet and channel fluid properties, inlet velocity and droplet size determine whether a droplet can separate from the surface or just deforms and remains stationary. The critical conditions for the droplet break-up are determined based on the Reynolds and Capillary numbers. Effects of droplet size relative to the channel width, density and viscosity ratios between the water droplet and oxidant fluid are addressed.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.568

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 head0.227
Teacher spread0.218 · 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