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Record W2325234956 · doi:10.2514/6.2005-4769

Spectral Analysis of Measurements of Separated Flow Transition on a Turbine Airfoil

2005· article· en· W2325234956 on OpenAlex
Sylvain Graveline, S. A. Sjolander

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venue35th AIAA Fluid Dynamics Conference and Exhibit · 2005
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAirfoilTurbineFlow (mathematics)Materials scienceMechanicsPhysicsThermodynamics

Abstract

fetched live from OpenAlex

†This paper describes spectral analyses of simultaneous surface hot-film (quasi-wallshear-stress) and hot-wire (velocity) measurements over the suction surface of a moderatelyloaded turbine blade at low Reynolds numbers. Under the conditions of the measurements, the flow on the aft portion of the suction surface experiences laminar separation and transition in a separated shear-layer. As the free shear layer becomes turbulent, the increased entrainment results in reattachment of the boundary layer. This paper evaluates the ability of spectral analysis (in this case digital fast Fourier analyses) to give insights into the transition process and the flow characteristics within the separation bubble, and to provide benchmark data for Large-Eddy Simulations (LES). The findings regarding the transition process show that the method is capable of defining an inertial range of turbulence where there are low levels of turbulent energy present, including at the fluctuation levels that are present in the nominally laminar regions. The results suggest that it may be useful to apply the concept of Kolmogorov-type turbulence dissipation in much earlier stages of transition than is normally considered appropriate. The shear layer that forms the outer edge of the separation bubble was found to contain two superimposed spectra. This is a phenomenon that cannot readily be captured by LES unless the filter size is much smaller than the spectrum with the highest frequency. The spectra of the turbulentkinetic-energy (hot-wire data) and of the quasi-wall-shear-stress fluctuations (hot-film data) were used to define the location in spectral space of the inertial range of the turbulence decay. In particular, it was possible to define the location of the inertial range close to the surface and at set intervals away across the bubble. It was found that for small distances they match very well, but as distance from the surface of the airfoil increases, the match degrades. Thus, the present results indicate that the spectral content from the surface signals, obtained beneath the separation bubble, only provide limited information about the spectral content of the turbulence in the adjacent free shear layer.

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 categoriesMeta-epidemiology (narrow)
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 score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.218
Teacher spread0.203 · 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