MétaCan
Menu
Back to cohort
Record W7133064897

Aircraft wing anti-icing system: modelling, integration, and validation

2003· dissertation· W7133064897 on OpenAlexaboutno aff
Thomas Andrew Turk

Bibliographic record

VenueTSpace · 2003
Typedissertation
Language
FieldEngineering
TopicIcing and De-icing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsWingAerospaceAerodynamicsIcingFlight control surfacesControl systemRunwayFlight envelope
DOInot available

Abstract

fetched live from OpenAlex

Aircraft wings are vulnerable to ice accretion during flight due to high exposure to on-coming air. This may cause disruption to the aerodynamics of the aircraft's lifting surfaces and pose a threat to aircraft safety. For most civil aircraft, a thermal anti-icing system is introduced to transmit engine hot bleed air into the leading-edge's surface to maintain surface temperature above the icing condition. The overall system involves thermal, pneumatic and control disciplines and their interactions make it a challenging task in systems design and analysis. Recently the University of Toronto Institute for Aerospace Studies (UTIAS) has initiated research in developing an integrated aircraft wing thermal anti-icing control and simulation system for engineering analysis of temperature distribution prediction, control design, tuning and sensitivity studies. This thesis, as part of the above research initiative, presents the pneumatic development, system integration, and validation with a demonstration using an example aircraft wing anti-icing system.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.452
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.019
GPT teacher head0.271
Teacher spread0.252 · 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.

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

Citations0
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueTSpaceSame topicIcing and De-icing TechnologiesFrench-language works237,207