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Record W6904833518 · doi:10.14621/ce.20160202

A fuel saving way in aerospace engineering based on morphing wing technology: a new multidisciplinary experimental model

2016· article· en· W6904833518 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.

fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNPARC · 2016
Typearticle
Languageen
FieldEngineering
TopicPlasma and Flow Control in Aerodynamics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaConsortium de Recherche et d’innovation en Aérospatiale au Québec
KeywordsMorphingWingAirfoilAileronDragWind tunnelAerospaceAirplaneWing loading

Abstract

fetched live from OpenAlex

The research presented in this present paper was done within the framework of the international CRIAQ MDO505 Morphing Wing project, developed as a collaborative research project between academia, research centres and industry partners. The work exposed in the paper is related to the development of an experimental morphing wing model and its performance evaluation by using some wind tunnel tests. This collaborative research aimed at the drag reduction over a wing by morphing it, conducting in this way at fuel savings and low emissions. The association between the drag reduction and wing morphing comes from the fact that if the wing airfoil shape is changed in a specific way then the laminar to turbulent flow transition point position can be moved toward its trailing edge. The model designed, fabricated and tested during our project is based on the dimensions of a full scale wing tip structure, equipped with a morphable flexible upper surface made from composite materials and deformed by using four miniature electrical actuators, with an array of 32 Kulite pressure sensors to monitor the air flow behaviour over the upper surface, and with an aileron also electrical actuated. The first specific objective for our research team in this project was to develop a new morphing mechanism for the wing by using miniature electrical actuators; these actuators should deform the upper wing surface, so that the laminar-to-turbulent transition point moves closer to the wing trailing edge reducing in this way the drag force as a function of flow condition by changing the wing shape. The flow conditions were univocally defined by mean of Mach numbers, airspeeds, angles of attack and aileron deflection angles. The second specific objective was to develop a control system for the morphing actuators to obtain the desired morphed shape of the wing for each studied flow case, while the third specific objective was to develop a monitoring system able to detect and visualize the airflow characteristics using pressure sensors installed on the upper surface of the morphing wing, evaluating in this way the gains brought by the proposed architecture. During the paper sections are successively exposed the project description, the morphing wing model instrumentation and the mechanisms used to control it. Finally, a wind tunnel aerodynamic results analysis is performed, discussing the extension of the laminar region of the flow over the wing by using the morphing wing technology.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score0.910

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 head0.008
GPT teacher head0.205
Teacher spread0.197 · 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