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Record W3034633156 · doi:10.2514/6.2020-2514

Large-Eddy Simulation of a Single Airfoil Tip-Leakage Flow

2020· article· en· W3034633156 on OpenAlexaff
Régis Koch, Marlène Sanjosé, Stéphane Moreau

Bibliographic record

VenueAIAA AVIATION 2020 FORUM · 2020
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Acoustics in Jet Flows
Canadian institutionsUniversité du QuébecUniversité de Sherbrooke
Fundersnot available
KeywordsAirfoilTrailing edgeLeading edgeMechanicsTurbulenceAerodynamicsLarge eddy simulationAcousticsCamber (aerodynamics)Leakage (economics)VortexMach numberReynolds numberChord (peer-to-peer)Tip clearancePhysicsMaterials scienceStructural engineeringEngineeringComputer science

Abstract

fetched live from OpenAlex

A Large-Eddy Simulation is performed on a single non-rotating airfoil with tip gap in order to highlight the noise sources in the tip-leakage flow. The geometry is composed of a NACA 5510 airfoil (5% camber, 10% thickness) mounted between two flat plates, with a 10 mm tip gap between the airfoil and one of the plates. The Reynolds number based on the chord is 960,000 and the Mach number is 0.2. The aerodynamic results from the simulation show the formation of the tip-leakage vortex and the interaction of the turbulent structures that exit the gap with the external flow near the trailing edge. Then, a Ffowcs Williams & Hawkings analogy is used to compute the far-field noise levels and an acoustic decomposition is performed to highlight the main surface contributions to the tip-leakage noise. The numerical simulation shows very good agreement compared with experiments and allows identifying the main noise source in the tip gap. The main noise source results in the interaction of the turbulent structures created in the tip gap close to the pressure side corner with the suction side tip edge. The scraping of turbulent structures along the tip edge shows to be an efficient noise mechanism.

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)0.001
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 score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.208
Teacher spread0.199 · 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

Citations6
Published2020
Admission routes1
Has abstractyes

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Same venueAIAA AVIATION 2020 FORUMSame topicAerodynamics and Acoustics in Jet FlowsFrench-language works237,207