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Record W2333994778 · doi:10.2514/6.2009-6140

Comprehensive Aerodynamic Modeling of a Small Autonomous Helicopter Rotor at All Flight Regimes

2009· article· en· W2333994778 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

VenueAIAA Modeling and Simulation Technologies Conference · 2009
Typearticle
Languageen
FieldEngineering
TopicAerospace and Aviation Technology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAerodynamicsAerospace engineeringRotor (electric)AeronauticsHelicopter rotorFlight dynamicsComputer scienceEnvironmental scienceEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Helicopter aerodynamic modeling has always received growing attention especially in the applications such as model-based control design for the helicopter UAVs, in which the vehicle model is of utmost importance to obtain a satisfactory performance. This article is an attempt to derive a general aerodynamic model for the small helicopters in the steady flow regimes. The actuator disc concept together with blade-element theory has been widely used in the helicopter performance calculations for many years. Based on this approach, a more comprehensive analytical model of the blade aerodynamics has been developed in this paper, by incorporating the vehicle velocity and angular velocity vectors into the model, which makes it suitable for the rotorcraft modeling and control in general flight scenarios. The simulation results for different flight regimes verified the correctness of the proposed model, and an experimental setup is used to verify the helicopter aerodynamic model around hover.

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: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.974

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 head0.033
GPT teacher head0.244
Teacher spread0.211 · 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