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Record W1975650480 · doi:10.1063/1.3072090

Effects of wavy sidewall on vortex breakdown in an enclosed cylindrical chamber with a rotating end wall

2009· article· en· W1975650480 on OpenAlexaff
Peng Yu, S. A. Meguid

Bibliographic record

VenuePhysics of Fluids · 2009
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVortexPhysicsMechanicsDissipationAmplitudeMomentum (technical analysis)Volume (thermodynamics)Rotational symmetryFlow (mathematics)OpticsThermodynamics

Abstract

fetched live from OpenAlex

The effects of the wavy sidewall on flow behavior in an enclosed cylindrical chamber with a rotating end wall were investigated by a numerical model based on the steady, axisymmetric Navier–Stokes equations. The wavy sidewall influences vortex breakdown by either enhancing or reducing the swirling velocity near the top axis, depending on its orientation, amplitude, and period. When the period is small, the orientation of the wavy sidewall varies the volume of the top region of the chamber, which affects the swirling velocity there, thus influencing the occurrence of vortex breakdown. The volume-variation effect is enhanced with an increase in the amplitude, while reduced with an increase in the period. Moreover, an increase in the amplitude or period increases the length of the wavy sidewall, which enhances the dissipation of the fluid angular momentum along it. Thus, the swirling velocity near the top axis region is decreased and vortex breakdown is delayed. The resultant effect of the wavy sidewall is determined by the competition/cooperation of the volume-variation effect and the dissipation effect. However, if the period is large, the dissipation effect becomes dominant and the orientation of the wavy sidewall becomes unimportant.

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 score0.570
Threshold uncertainty score0.761

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 head0.005
GPT teacher head0.206
Teacher spread0.201 · 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

Citations6
Published2009
Admission routes1
Has abstractyes

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