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Record W4295951724 · doi:10.4050/f-0078-2022-1130

Design and Test of an Active Pneumatic Trailing Edge Flap for High-Speed Rotorcraft

2022· article· en· W4295951724 on OpenAlexaff
Matthew DiPalma, Joe Szefi, Tim Conti, Claude Matalanis, Preston Bates

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAeroelasticity and Vibration Control
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsTrailing edgeAirfoilAerodynamicsActuatorHelicopter rotorRotor (electric)Finite element methodStructural engineeringMechanical engineeringEnhanced Data Rates for GSM EvolutionLeading edgeEngineeringAerospace engineeringComputer scienceAcousticsPhysicsElectrical engineering

Abstract

fetched live from OpenAlex

As part of the High-Speed, Highly Efficient Rotor (HSHER) program, a novel trailing-edge flap concept is evaluated. A finely tuned internal laminate topology, coupled with a lightweight pneumatic actuation system, enable a performant trailing-edge flap technology that does not require electronic or mechanical actuators within the rotor blade. The trailing-edge flap is experimentally shown to provide a 12-degree range of motion between the downward and upward deflected configurations under pressures which can be generated passively by the rotation of the rotor blade. The structure is shown to be sufficiently stiff against aerodynamic pressures and moments, is resilient to strains resulting from large blade deflections, and can hold its shape in the event of pneumatic actuator failure. Additionally, the test data confirmed the strong predictive capability of the finite element analysis for highly-compliant laminate designs such as this. The design is highly customizable and can accommodate a wide variety of airfoils, flap parameters, and loading scenarios. Details of the design, fabrication, and testing of the trailing-edge flap are presented.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.669
Threshold uncertainty score0.296

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 head0.016
GPT teacher head0.217
Teacher spread0.201 · 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 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
Published2022
Admission routes1
Has abstractyes

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