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Record W2064980329 · doi:10.1063/1.4757388

Breakup of a poorly conducting liquid thread subject to a radial electric field at zero Reynolds number

2012· article· en· W2064980329 on OpenAlexfundno aff
Qiming Wang

Bibliographic record

VenuePhysics of Fluids · 2012
Typearticle
Languageen
FieldEngineering
TopicElectrohydrodynamics and Fluid Dynamics
Canadian institutionsnot available
FundersUniversity of British ColumbiaNational Science Foundation
KeywordsPhysicsBreakupMechanicsElectrohydrodynamicsElectric fieldThermal conductionThread (computing)Reynolds numberCapillary numberLiquid dielectricClassical mechanicsCapillary actionElectrodeTurbulenceMeteorologyThermodynamics

Abstract

fetched live from OpenAlex

We study the breakup of an axisymmetric viscous liquid thread with finite conductivity immersed in another viscous fluid, which are confined to a concentrically placed cylindrical electrode that is held at a constant voltage potential. The annular fluid between the core thread and the electrode is assumed to be insulating. The flow then is driven by a radial electric field together with capillary and viscous forces. A linear stability analysis is carried out when the perturbation on the thread interface is small and nonlinear evolution and satellite drop formation near pinch-off are investigated by direct numerical simulations based on boundary integral method. The numerical results reveal that satellite formation as well as breakup time is affected significantly when the effect of charge convection is important compared with electric conduction. For large conduction, the evolutions of the thread are close to those obtained for a perfectly conducting core fluid. Finally, we show numerically that the local dynamics may be altered when the conduction is weak compared to the perfect conductor limit. New scalings near breakup are obtained from a long wave model.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.237
Teacher spread0.225 · 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 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

Citations29
Published2012
Admission routes1
Has abstractyes

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