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Record W3101245301 · doi:10.1615/tsfp10.810

Blunt Trailing Edge Profiled Body Wake Control Using Synthetic Jets

2017· article· en· W3101245301 on OpenAlexaff
Ross Cruikshank, Philippe Lavoie

Bibliographic record

VenueProceeding of Tenth International Symposium on Turbulence and Shear Flow Phenomena · 2017
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Fluid Dynamics Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTrailing edgeWakeAerospace engineeringMechanicsComputer sciencePhysicsEngineering

Abstract

fetched live from OpenAlex

The three-dimensional structure of turbulent blunt trailing edge body wakes is experimentally investigated with and without forcing. The intrinsic effect of boundary layer transition on the frequency of vortex shedding and its three-dimensional structure is explored. Disturbances in the shear layers are amplified as the boundary layers transition and this is associated with more phase variations in the vortex shedding along the span and the more frequent occurrence of vortex dislocations. In contrast, it is found that the shedding phase drift does not change significantly with the boundary layer thickness in the turbulent boundary layer regime. These changes in the wake three-dimensionality are linked to the spanwise correlation of the streamwise velocity, as well as the relative strength of the vortex shedding compared to the turbulent fluctuations in the wake. Furthermore, a coherent secondary instability vortical structure is identified in the wake in all of the investigated cases. The spanwise wavelength of this structure is measured to be approximately 0.8 times the body thickness, d, irrespective of the state of the boundary layers and their thickness, and it is identified as the mode B instability originally reported in cylinder wakes. An array of synthetic jets on the body is used to force the vortex shedding into a different three-dimensional configuration. The jets are located near the trailing edges of the body and distributed symmetrically on both sides with a uniform spanwise spacing of 2.4d. The forcing partially tilts the von Karman vortices into the streamwise direction and induces the formation of coherent streamwise vortex loops. This reorientation of the wake vorticity is associated with the attenuation of the vortex street and drag reduction. The effect of forcing amplitude and low-frequency modulation on the drag reduction and the structure of the wake is examined. The greatest drag reduction of approximately 25% is achieved when the vortical structures emitted by the jets penetrate up to the edge of the boundary layers of the body. Evidence is presented that the greatest drag reduction occurs when the vortex street is most tilted into the streamwise direction by the forcing.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.000
Threshold uncertainty score0.001

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)0.0000.000

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 head0.017
GPT teacher head0.263
Teacher spread0.245 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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