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Record W4381619473 · doi:10.11159/ffhmt23.146

Dynamics of a Rotating Core-Annular Flow at Inertial Fluid Oscillations

2023· article· en· W4381619473 on OpenAlexvenueno aff
Olga Vlasova, Ivan Karpunin, Nikolaï Kozlov

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGeomagnetism and Paleomagnetism Studies
Canadian institutionsnot available
FundersRussian Science Foundation
KeywordsDynamics (music)Fluid dynamicsMechanicsInertial frame of referenceFlow (mathematics)PhysicsCore (optical fiber)Inertial waveClassical mechanicsControl theory (sociology)Computer scienceAcousticsOptics

Abstract

fetched live from OpenAlex

Dynamics of a centrifuged system of two immiscible liquids in a rotating cylinder is studied experimentally. In experiments, the liquids fill a horizontal cylindrical container with transparent walls that rotates about its axis. The study is carried out in the case of fast rotation when under the action of the centrifugal force the light liquid forms an axi-symmetric column on the container axis (core), while the heavy liquid is distributed along the cylindrical wall (annulus). The gravity makes the core shift radially by a small distance, which is practically invariant along the axis. This effect excites the tangential oscillations of the interface leading to the generation of azimuthal steady flows in the rotating frame of reference and to the differential rotation of the interface. The profile of azimuthal velocity has a "discontiunity", which appears on the limits of a viscous boundary layer formed at the interface. The maximum velocity is observed in the outer liquid near the interface. The analysis of the velocity profiles reveals that the liquid-liquid interface is the essential generator of the azimuthal flow in the annulus, while the Ekman pumping appears to affect the flow velocity inside the core. The results of the study may be helpful for the determination of the distribution of inclusions or species on the rotating interface.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.567

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 head0.020
GPT teacher head0.243
Teacher spread0.223 · 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 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
Published2023
Admission routes1
Has abstractyes

Explore more

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