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Record W4402688242 · doi:10.2514/6.2024-3764

Wind Tunnel Testing of a Wing Section for a Small UAV

2024· article· en· W4402688242 on OpenAlexaffabout
Lydia Habib, Minsu Joo, Leah Ben-Tzur, William Bissonnette, Vladislav Daniliuk, Goetz Bramesfeld

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAerospace and Aviation Technology
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsWingSection (typography)Wind tunnelAerospace engineeringAerodynamicsMarine engineeringComputer scienceAeronauticsEngineeringGeology

Abstract

fetched live from OpenAlex

This paper presents an experimental study on the aerodynamic properties of the George airfoil designed for potential use on the CREATeV solar-powered, long-endurance uncrewed aerial vehicle (UAV). Wind tunnel tests were conducted in Toronto Metropolitan University’s low-speed wind tunnel to measure the lift and drag coefficients of the wing section between Chord-Reynolds numbers of 300,000 and 400,000 over a range of angles of attack, making use of wall-pressure reaction based lift measurement setup and an integrating wake rake for drag measurements. A different set of configurations were tested, including a series of trip tape configurations above and below the wing surfaces, as well as a flap configuration. The studies show that the experimental data had good agreement with Xfoil results, however, the benefits of tripping the flow are not sufficient to warrant the use of zig-zag trip tape.

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)0.000
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 score0.766
Threshold uncertainty score0.158

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 head0.023
GPT teacher head0.218
Teacher spread0.195 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2024
Admission routes2
Has abstractyes

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