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Record W1506812330 · doi:10.1109/ceidp.1997.641162

EHD surface waves of diesel oil thin films generated by wire-plate barrier discharges

2002· article· en· W1506812330 on OpenAlexaff
Jen-Shih Chang, K. Urashima, Jaehyeon Cho, Guillermo Artana, G. Touchard

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrohydrodynamics and Fluid Dynamics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMaterials scienceDiesel fuelThin filmComposite materialElectrohydrodynamicsVoltageDielectricCorona dischargeCorona (planetary geology)Surface waveOpticsOptoelectronicsElectrical engineeringElectric fieldNanotechnologyChemistryPhysics

Abstract

fetched live from OpenAlex

An experimental investigation has been conducted to study electrohydrodynamically (EHD) induced surface wave phenomena on the surface of dielectric diesel oil thin films under wire-plate barrier discharges. Experimental arrangements used in the present investigation consisted of a corona wire, air gaps, thin oil film, mylor sheet and conducting transparent sheet placed on the lucite plate. Positive dc (on/off) high voltage was imposed on the corona wires and the conducting sheet was grounded. Diesel oil is used as a working fluid (/spl epsi//sub s/=2.2 and /spl sigma/5/spl times/10/sup -/5 /spl mu/S/m). The experimental results show that: (1) Thin oil film started to deform immediately when dc voltage is imposed and a small elongated ring shape hydraulic jump expanding wave is formed; (2) after thin oil film becomes significantly charged, a formation of depressing expanding elongated ring-shaped waves are observed and relatively uniform oil thin films formed below corona wires; (3) after voltage is off, a formation of depression expanding waves is observed and the surface waves keep forming and decay until all the electric charges at the surface of the diesel oils are relaxed.

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 score0.827
Threshold uncertainty score0.776

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)0.0010.000

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 head0.006
GPT teacher head0.176
Teacher spread0.171 · 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

Citations1
Published2002
Admission routes1
Has abstractyes

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