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Record W3084099152 · doi:10.32393/csme.2020.75

CFD-Based Optimization of Rotor Electro-Thermal Ice Protection Systems

2020· article· en· W3084099152 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

VenueProgress in Canadian Mechanical Engineering. Volume 3 · 2020
Typearticle
Languageen
FieldEngineering
TopicIcing and De-icing Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsComputational fluid dynamicsRotor (electric)Aerospace engineeringMarine engineeringThermalThermal protectionComputer scienceMechanical engineeringEnvironmental scienceEngineeringMaterials scienceMeteorologyPhysics

Abstract

fetched live from OpenAlex

The helicopter rotor is responsible for lift generation and control along the pitch and roll axes and is therefore an essential component to protect against ice accretion, a hazardous phenomenon that can lead to departure from controlled flight. Ice protection systems (IPS) used in helicopters differ from that of aircraft due to the smaller wing cross-section and the lower onboard power available. Electro-thermal heating pads are a prevalent solution answering these constraints, as they are thin and can fully conform to a blade profile. Current research to optimize electro-thermal IPS is limited to airfoils, while flows and icing on aircraft wings and helicopter rotors are highly three-dimensional in nature. The present methodology extends IPS optimization to include electro-thermal IPS for three-dimensional wings as well as rotorcraft in hover and forward flight.

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: none
Teacher disagreement score0.925
Threshold uncertainty score0.927

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.184
Teacher spread0.175 · 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