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Record W2099872788 · doi:10.2514/6.2006-646

Measurements of wall shear stress of an offset attaching planar jet with co-flow

2006· article· en· W2099872788 on OpenAlexafffund
Nan Gao, Jonathan Naughton, D. Ewing

Bibliographic record

Venue44th AIAA Aerospace Sciences Meeting and Exhibit · 2006
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsShear stressOffset (computer science)Materials sciencePlanarJet (fluid)Shear (geology)MechanicsStructural engineeringComposite materialComputer sciencePhysicsEngineering

Abstract

fetched live from OpenAlex

The distributions of the wall shear stress and the Stanton number for an offset attaching planar jet with a Reynolds number of 43000 and a co-flowing jet was measured experimentally using thin oil film interferometry and a heated thin foil. The flow fields, static wall pressure and the fluctuating wall pressure were also measured to examine the effect of the velocity ratio had on the development of the jets. It was found that the lower jet was entrained into the upper jet for low velocity ratios and the two jets seem to develop parallel to each other for larger velocity ratios. The change in the skin friction was found to be associated with the mean flow and the static wall pressure, while the change in the heat transfer seemed more closely related to the turbulence in the 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.

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 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 score0.215
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.013
GPT teacher head0.225
Teacher spread0.212 · 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

Citations2
Published2006
Admission routes2
Has abstractyes

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