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Record W2120732030 · doi:10.1017/jfm.2015.90

Experimental investigation of flow development and gap vortex street in an eccentric annular channel. Part 2. Effects of inlet conditions, diameter ratio, eccentricity and Reynolds number

2015· article· en· W2120732030 on OpenAlexafffund
George H. Choueiri, Stavros Tavoularis

Bibliographic record

VenueJournal of Fluid Mechanics · 2015
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaAtomic Energy of Canada Limited
KeywordsReynolds numberStrouhal numberPhysicsEccentricity (behavior)InletTurbulenceInstabilityVortexMechanicsKármán vortex streetGeometryMathematicsGeology

Abstract

fetched live from OpenAlex

The development and structure of flows in eccentric annular channels and their dependence on inlet conditions, inner-to-outer diameter ratio $d/D$ , eccentricity $e=2{\rm\Delta}y/(D-d)$ , where ${\rm\Delta}y$ is the distance between the axes of the inner and outer cylinders, and Reynolds number $\mathit{Re}$ , based on the hydraulic diameter and the bulk velocity, were studied experimentally, with focus on the phenomena of gap instability and the resulting vortex street. Experimental conditions covered a Reynolds number range between 0 and 19 000, an eccentricity range from 0 to 0.9 and inner-to-outer diameter ratios equal to 0.25, 0.50 and 0.75. Much of the discussion is based on measurements in the middle of the narrow annular gap, where the phenomena of interest could be observed most vividly. In the range $\mathit{Re}<10\,000$ , the Strouhal number, the normalized mid-gap axial flow velocity and the normalized axial and cross-flow fluctuations at mid-gap were found to increase with increasing $\mathit{Re}$ and to depend strongly on inlet conditions. At higher Reynolds numbers, however, these parameters reached asymptotic values that were less sensitive to inlet conditions. We constructed a map for the various stages of periodic motions versus eccentricity and Reynolds number and found that for $e<0.5$ or $\mathit{Re}<1100$ the flow was unconditionally stable, as far as gap instability is concerned. For $e\leqslant 0.5$ , transition to turbulence occurred at $\mathit{Re}\approx 6000$ , whereas, for $0.6\leqslant e\leqslant 0.9$ , the critical Reynolds number for the formation of periodic motions was found to increase with eccentricity from 1100 for $e=0.6$ to 3800 for $e=0.9$ .

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score0.604

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 head0.015
GPT teacher head0.223
Teacher spread0.208 · 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

Citations23
Published2015
Admission routes2
Has abstractyes

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