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Record W2991176308 · doi:10.1109/ias.2019.8912025

Experimental modeling and optimization of the active neutralization of a PP film, using design of experiments methodology

2019· article· en· W2991176308 on OpenAlexaff
Akila Messaoudène, Mohamed Rachid Mékidèche, Boukhalfa Bendahmane, Belaïd Tabti, Karim Medles, Lucian Dăscălescu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrostatic Discharge in Electronics
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsNeutralizationCorona (planetary geology)Materials scienceCorona dischargeElectrodeDielectricPolypropyleneProcess (computing)OptoelectronicsProcess engineeringElectrical engineeringComputer scienceEngineeringComposite materialVoltageChemistryPhysics

Abstract

fetched live from OpenAlex

The presence of electrical charges on the surface of dielectric materials is a major source of hazard in many industrial process. The aim of this paper is to pave the way to use an AC corona discharger at industrial frequency (50 Hz) having a triode-type electrode configuration for active neutralization of electrically charged polypropylene films. The efficiency of the neutralization process was evaluated by noncontact measurement of the electric potential at the surface of DC-corona-charged PP films samples before and after exposure to the AC corona discharge. The Design of Experiments methodology was used for the quantification of the effects of the various influential factors and the optimization of the neutralization process.

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)0.002
metaresearch head score (Gemma)0.002
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.063
GPT teacher head0.306
Teacher spread0.243 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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Same topicElectrostatic Discharge in ElectronicsFrench-language works237,207