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Low Reynolds number effects on jets issuing from round and elliptic orifices

2015· article· en· W2586612119 on OpenAlexaff
Seyed Sobhan Aleyasin, Mark F. Tachie, Mike Koupriyanov, T. Epp

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Acoustics in Jet Flows
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsReynolds numberBody orificeMechanicsJet (fluid)TurbulenceParticle image velocimetryEllipseNozzlePhysicsAspect ratio (aeronautics)MathematicsGeometryMechanical engineeringThermodynamicsEngineering

Abstract

fetched live from OpenAlex

An experimental study was undertaken to investigate Reynolds number effects on mixing characteristics and turbulent transport phenomena in the near and intermediate regions of free orifice jets. The cross-sections examined were round, ellipses with aspect ratio 2 and 3. For each orifice cross-section, detailed velocity measurements were made at 4 Reynolds numbers: 2500, 4300, 8500 and 17000 using a particle image velocimetry. The results show different characteristics in the major and minor planes of ellipses with aspect ratio 2 and 3 including spread rate. Also an increase in Reynolds number leads to a narrower jet. Furthermore, the streamwise locations of axis-switching points of both elliptic nozzles are almost independent of Reynolds number not only for half-velocity width but also for the other velocity widths.

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 score0.400
Threshold uncertainty score0.544

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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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

Citations5
Published2015
Admission routes1
Has abstractyes

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