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Record W2991457536

Breakdown Voltage Using Bond Energy Calculation for CF3CHCl2/CO2 Mixture as Insulation Applied

2019· article· en· W2991457536 on OpenAlexaboutno aff
Tedy Juliandhy

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceBreakdown voltageComposite materialBondBond energyEnergy (signal processing)VoltageElectrical engineeringMathematicsChemistryEngineeringStatisticsEconomicsMolecule
DOInot available

Abstract

fetched live from OpenAlex

Abstract— Sulfur hexafluoride gas according to the Montreal Protocol and Kyoto protocol needs to be limited and gradually reduced because it causes global warming, the greenhouse effect and acid rain on the environment. The Kyoto protocol recommends the use of dichlorotrifluoroethane gas as one of the alternatives to substitute sulfur hexafluoride gas. This research discusses the use of dichlorotrifluoroethane gas mixed with CO2 gas which was known to be able to withstand the breakdown voltage of 592-870 kV. Comparing to breakdown voltage predictions using methods based on bond energy, Paschen's law and high voltage tests. Breakdown voltage deviations using bond energy were better than Paschen's law. The dichlorotrifluoroethane gas economy has a price of 5.18 times cheaper than hexafluoride sulfur gas. The ability of dichlorotrifluoroethane gas to insulation gas in gas insulated switchgear needs to be applied as a real potential substitute for sulfur hexafluoride gas. Keywords- Sulfur Hexafluoride, dichlorotrifluoroethane, bond energy, Paschen’s law, Techno-economy, Gas Insulated Switchgear

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.118
GPT teacher head0.479
Teacher spread0.360 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicHigh voltage insulation and dielectric phenomenaFrench-language works237,207