MétaCan
Menu
Back to cohort
Record W4282586356 · doi:10.2514/6.2022-2948

Aeroacoustic investigation of an Urban-Air-Mobility ducted fan

2022· article· en· W4282586356 on OpenAlexaffabout
Stéphane Moreau, Yann Pasco, Gyuzel Yakhina

Bibliographic record

Venue28th AIAA/CEAS Aeroacoustics 2022 Conference · 2022
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Acoustics in Jet Flows
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsAnechoic chamberAcousticsWind tunnelAeroacousticsSubsonic and transonic wind tunnelDirectivityRotor (electric)Sound pressureNoise (video)Aerospace engineeringPhysicsEngineeringTransonicAerodynamicsComputer scienceElectrical engineering

Abstract

fetched live from OpenAlex

The present study focuses on the aeroacoustic aspects of ducted fans that could be possibly used in future Urban Air Mobility (UAM). These rotating systems are axial, low solidity rotor-stator assemblies operating in the low subsonic and transitional regime at approach. Directivity measurements of the far-field acoustic pressure have first been achieved in the anechoic wind tunnel at Université de Sherbrooke. Noise signatures with both strong tonal, quasi-tonal (subharmonic humps) and broadband components are found. Lattice-Boltzmann simulations are then performed on the same ducted fan in the anechoic wind tunnel in order to understand the noise mechanisms. Grid convergence of the acoustic spectra is already achieved. The direct farfield noise computations show a good overall match with experimental data. The origin of the subharmonic humps is already traced to the tip vortices staying in the rotational plane and interacting with the subsequent blades.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.120
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.203
Teacher spread0.192 · 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.

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

Citations7
Published2022
Admission routes2
Has abstractyes

Explore more

Same venue28th AIAA/CEAS Aeroacoustics 2022 ConferenceSame topicAerodynamics and Acoustics in Jet FlowsFrench-language works237,207