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Record W1819387913 · doi:10.1109/ceidp.2002.1048786

Electrohydrodynamic surface waves of thin oil films generated by needle-plate barrier discharges under argon gas environments

2003· article· en· W1819387913 on OpenAlexaff
J.S. Chang, K. Urashima

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrohydrodynamics and Fluid Dynamics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCorona dischargeArgonElectrohydrodynamicsTorrMaterials scienceElectrodeVoltageCorona (planetary geology)Thin filmCorona ringAtmospheric pressurePartial dischargeTransformer oilDielectricGlow dischargePlasmaAnalytical Chemistry (journal)OptoelectronicsChemistryElectrical engineeringTransformerNanotechnologyMeteorology

Abstract

fetched live from OpenAlex

The study of electrohydrodynamically (EHD) induced surface wave phenomena on the surface of dielectric thin oil films under needle-plate barrier discharges for argon gas reduced gas pressure environments has been investigated experimentally, Experiments were conducted in a cloud environmental chamber maintained at gas pressure from 5.1 to 760 Torr. The test system consisted of needle corona electrode gaps, thin mineral oil films, polymer sheet and metal grounded plate. DC (on/off) negative and positive voltages were imposed on needle electrode. Measurements of corona current waveform and surface wave were observed by current transformers and CCD video camera, respectively. Unlike corona discharge in air, Ar discharge will not generate any negative ions, hence only glow corona was observed. The results show that thin oil film started to deform immediately who positive or negative dc voltage was imposed and after voltage was off, and that a formation of depression expanding waves was observed in argon gas when gas pressure was between 11 to 760 Torr for positive applied voltages only.

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 categoriesMeta-epidemiology (narrow)
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 score0.444
Threshold uncertainty score1.000

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 head0.003
GPT teacher head0.172
Teacher spread0.169 · 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.

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

Citations0
Published2003
Admission routes1
Has abstractyes

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