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Record W2898220985 · doi:10.1115/fedsm2018-83269

Nozzle Orientation Effects on the Turbulent Structure of Submerged Twin Jets

2018· article· en· W2898220985 on OpenAlexaff
Chidiebere F. Nwaiwu, Martin Agelin‐Chaab, Mark F. Tachie

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Acoustics in Jet Flows
Canadian institutionsOntario Tech UniversityUniversity of Manitoba
Fundersnot available
KeywordsNozzleTurbulenceMechanicsReynolds numberMaterials scienceHydraulic diameterBody orificePhysicsGeometryEngineeringMathematicsMechanical engineeringThermodynamics

Abstract

fetched live from OpenAlex

Nozzle orientation effects on the turbulent structure of submerged twin jets were investigated experimentally. The twin jets were offset from the free surface by the ratio, h/d = 2, where h is the offset height displacement and d is the nozzle’s hydraulic diameter. The experiments were conducted using a pair of rectangular nozzles having an aspect ratio of 3, oriented in both the minor and major axes. The Reynolds number based on the jet exit velocity and nozzle hydraulic diameter was maintained at 4622. The results show a 74% increase in the attachment length for the nozzle oriented in the major axis relative to the minor. The streamwise velocity at the free surface accelerated at a 58% higher rate for the minor axis orientation compared to that of the major axis. The joint probability density function show a dominance of the fast streamwise fluctuation in the generation of the Reynolds shear stress.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.005
GPT teacher head0.204
Teacher spread0.200 · 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 designBench or experimental
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

Citations0
Published2018
Admission routes1
Has abstractyes

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