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Record W1562950022 · doi:10.1109/ceidp.1989.69553

Oxidation dependence of breakdown strength of XLPE

2003· article· en· W1562950022 on OpenAlexaff
Graham A. Gagnon, S. Pélissou, M. R. Wertheimer

Bibliographic record

VenueConference on Electrical Insulation and Dielectric Phenomena · 2003
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsPolyethyleneFourier transform infrared spectroscopyDielectric strengthDielectricVolume (thermodynamics)Materials scienceInfrared spectroscopyAnalytical Chemistry (journal)Polymer chemistryFourier transformInfraredComposite materialChemistryMathematicsChemical engineeringThermodynamicsPhysicsOrganic chemistryOptoelectronicsEngineeringMathematical analysisOptics

Abstract

fetched live from OpenAlex

It has been shown in a previous study (P. Rohl, 1982) that the breakdown strength of polyethylene increases with increasing oxidation levels. The purpose of the research reported here is to verify this somewhat surprising result. Unlike the earlier work, cross-linked polyethylene (XLPE), the principal insulation used in extruded cables, is utilized. The authors correlate dielectric breakdown measurements with oxidation, monitored by Fourier transform infrared (FTIR) spectroscopy, and the results are interpreted using the modified free-volume theory. It is found that the breakdown strength E/sub b/ indeed shows a slight tendency to increase with the oxidation level. In particular, the authors found a correlation between E/sub b/ and the degree of oxidation, expressed in terms of the carbonyl band (1741 cm/sup -1/) absorption. The exact reasons for this behavior are not clear at this time, but appear to be compatible with the modified free-volume theory breakdown.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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)0.001
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 score0.355
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.025
GPT teacher head0.256
Teacher spread0.231 · 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

Citations2
Published2003
Admission routes1
Has abstractyes

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