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Record W2146463528 · doi:10.2514/2.2566

Three-Dimensional Eulerian Approach to Droplet Impingement Simulation Using FENSAP-ICE, Part 1: Model, Algorithm, and Validation

2000· article· en· W2146463528 on OpenAlexafffund
Yves Bourgault, Ziad Boutanios, Wagdi G. Habashi

Bibliographic record

VenueJournal of Aircraft · 2000
Typearticle
Languageen
FieldEngineering
TopicIcing and De-icing Technologies
Canadian institutionsConcordia University
FundersPratt and Whitney Canada
KeywordsEulerian pathLagrangianLagrangian particle trackingIcingComputer scienceTracking (education)MechanicsAlgorithmApplied mathematicsSimulationAerospace engineeringMathematicsPhysicsMeteorologyEngineering

Abstract

fetched live from OpenAlex

To realistically compute three-dimensional droplet impingement on aircraft and engines, an Eulerian model for diphasic aire ows containing water droplets is proposed as an alternative to the traditional Lagrangian particle tracking approach. The partial differential equations-based model is presented, together with details on the numerical methods and its algorithmic implementation in three dimensions within the e nite element Navier ‐Stokes analysis package for icing. Code validations in two and three dimensions are presented in comparison with published NASA experimental impingement results, and numerical accuracy requirements are discussed.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.248
Teacher spread0.220 · 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 designSimulation or modeling
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

Citations167
Published2000
Admission routes2
Has abstractyes

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