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Record W2128394429 · doi:10.2514/1.c031607

FENSAP-ICE: Unsteady Conjugate Heat Transfer Simulation of Electrothermal De-Icing

2012· article· en· W2128394429 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

VenueJournal of Aircraft · 2012
Typearticle
Languageen
FieldEngineering
TopicIcing and De-icing Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsIcingHeat transferMechanicsHeat fluxMaterials scienceConvective heat transferHeat transfer coefficientLatent heatThermodynamicsMeteorologyInternal heatingComputer simulationEnvironmental sciencePhysics

Abstract

fetched live from OpenAlex

DOI: 10.2514/1.C031607 This paper presents a truly unsteady approach for the numerical simulation of in-flight electrothermal anti-icing orde-icing, using a conjugate heat transfer technique. This numerical approach has been implemented in FENSAPICE to compute the complex heat transfer phenomena occurring during in-flight de-icing with multiple heating elements following independent cycling. At each time step, the energy fluxes through the aircraft’s solid skin, the melting ice layer, the liquid water film, and the external fluid are computed. The ice shape is then modified by taking intoaccounttheopposingmassbalanceeffectsoficeaccretingduetotheimpactofsupercooleddropletsand/orwater runback, and the partial or total melting of the existing ice layer due to heating. The results of the verification of this phase-changeconductioncodearepresented,followedbyastudyofintercyclede-icingonawing,showingintercycle ice growth. Nomenclature ch = convective heat flux coefficient d = droplet diameter E = internal energy e = volumetric internal energy H = enthalpy

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.427

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 head0.012
GPT teacher head0.241
Teacher spread0.229 · 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