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Record W6911622501 · doi:10.5281/zenodo.1345496

Large Eddy Simulation Of A Rotor Stage For Fan Noise Source Diagnostic

2018· article· en· W6911622501 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typearticle
Languageen
FieldEngineering
TopicTurbomachinery Performance and Optimization
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsWakeBoundary layerTurbofanLaminar flowRotor (electric)TurbulenceLarge eddy simulationStatorAerodynamicsWake turbulence

Abstract

fetched live from OpenAlex

A Large Eddy Simulation (LES) of the NASA Source Diagnostic Test turbofan is performed focusing on a single rotor blade without the stator vanes to put emphasis on the grid resolution in both the tip clearance and the rotor wake without any potential effect from the stator. The investigated operating condition is representative of approach conditions for which the rotor is operating out-of-design. Good agreement with aerodynamic measurements is observed at two different axial positions for the mean and wake turbulence values. In the LES, the boundary layer naturally transitions to turbulence on the blade suction side but remains quasi laminar over most of its pressure side. Flow visualizations capture the tip leakage flow and the complex influence of resolved coherent structures in the boundary layer and wake development. Last, the Power Spectral Density is analyzed in the wake and on the blades for the axial velocity and pressure fluctuations respectively.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.785
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.238
Teacher spread0.221 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2018
Admission routes1
Has abstractyes

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