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Record W4400638600

Wake flow dynamics of an A320 morphing wing prototype through Time-Resolved PIV and Hi-Fi simulations

2024· article· en· W4400638600 on OpenAlexaff
Mateus Carvalho, J. Abou-Khalil, Clément Rouaix, Abderahmane Marouf, Horia Hangan, Jean-François Rouchon, Marianna Braza

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2024
Typearticle
Languageen
FieldEngineering
TopicAeroelasticity and Vibration Control
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsMorphingWakeWingAerospace engineeringFlow (mathematics)Computer scienceDynamics (music)Computational fluid dynamicsSimulationMechanicsPhysicsComputer graphics (images)AcousticsEngineering
DOInot available

Abstract

fetched live from OpenAlex

The present article investigates the electroactive morphing effects on the aerodynamic performance around an A320 wing prototype with an embedded system of near trailing edge piezoactuators able to vibrate and apply slight deformations at optimal frequencies and amplitudes. Physical experiments based on time-resolved PIV and Hi-Fi numerical simulations at Reynolds number of 1 million, incidence of 10° and Mach number of 0.06, corresponding to the low subsonic regime at take-off conditions, investigated the physical mechanisms related to the increase in lift, drag and noise source reduction, based on the modification of the turbulence structure along the shearing regions and its interaction with coherent structures in the near wake. A lift-to-drag increase in the order of 6% as well as a spectral energy reduction in the order of 15% in dB have been obtained for a specific range of the actuation frequency and for low vibration amplitude of 0.7 \uD835\uDC5A\uD835\uDC5A. The physical mechanisms related to these performances are analysed by spectral analysis and POD.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.009
GPT teacher head0.211
Teacher spread0.202 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueHAL (Le Centre pour la Communication Scientifique Directe)Same topicAeroelasticity and Vibration ControlFrench-language works237,207