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Record W2094064966 · doi:10.2514/1.25407

Development of a Trailing Vortex Formed with Spanwise Tip Jets

2007· article· en· W2094064966 on OpenAlexaff
A. Gordon L. Holloway, Stephen H. Richardson

Bibliographic record

VenueJournal of Aircraft · 2007
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsVortexHorseshoe vortexMechanicsTurbulence kinetic energyWakeStarting vortexPhysicsVorticityTurbulenceVortex ringChord (peer-to-peer)Vortex sheddingReynolds numberWake turbulenceJet (fluid)

Abstract

fetched live from OpenAlex

Trailing vortices from a NACA0015 (AR = 5) wing were formed with spanwise tip jets to allow the study of vortex core distortions on the development of vortex size and speed. The wing-tip jets were formed from small holes arranged along the periphery of the wing cross section. Experiments covered a wide range of tip jet blowing rates for a fixed-wing incidence of 5 deg and chord Reynolds number of 10 5 . Measurements of mean velocity, mean vorticity, and turbulence kinetic energy in the wake were made up to 32 chords downwind using hot-wire anemometry. The tip vortex was observed to envelop the jet and subsequently grow in diameter at a substantially higher rate than the vortex formed without tip jets. The circumferential speed of the vortex formed with tip jets was higher in the near field, but declined sharply with downstream distance. At 32 chords downwind, the vortex formed with tip jets evolved into an axisymmetric form similar to a natural vortex, but with a diameter up to three times larger and a peak circumferential velocity three times less. The turbulence intensity measured on the vortex core was 30% in the near wake and 10% at 32 chords downwind.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.279
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

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 head0.008
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 teacher head, 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

Citations12
Published2007
Admission routes1
Has abstractyes

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