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Record W1836396085 · doi:10.1109/ceidp.1999.807920

Image analysis of gas-phase corona discharge induced electrohydrodynamic liquid flow in stratified fluid observed by particle image velocimetry

2003· article· en· W1836396085 on OpenAlexaff
Ryu‐ichiro Ohyama, Jen-Shih Chang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAerosol Filtration and Electrostatic Precipitation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsElectrohydrodynamicsParticle image velocimetryLiquid dielectricMechanicsTwo-phase flowVelocimetryElectrodeParticle tracking velocimetryFluid dynamicsMaterials scienceCorona dischargeOpticsFlow (mathematics)DielectricChemistryPhysicsTurbulenceOptoelectronics

Abstract

fetched live from OpenAlex

Analysis of gas-phase needle-plate corona discharge induced electrohydrodynamic liquid flow in stratified fluid is carried out by image processing from the experimental results. In this paper, the flow velocity distribution is experimentally obtained by a particle image velocimetry with image processing, where the measurement system takes sequential digital images of flow field illuminated by a laser light sheet for computed tomography. The results show that the electrohydrodynamic induced fluid flow direction on an electrode axis is not from needle electrode to plate electrode axis when needle electrode position above liquid layer. For the case of the needle electrode tip immersed into the dielectric liquid, it is well known that the dielectric liquid makes anticlockwise rotation by contraries. Hence, new approaches are required for the analyses of the present type electrohydrodynamic fluid motion. The mechanistic model based on interfacial momentum transfer effects on liquid-phase fluid motion is discussed in detail.

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 score0.485
Threshold uncertainty score0.906

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.251
Teacher spread0.238 · 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

Citations1
Published2003
Admission routes1
Has abstractyes

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