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Record W3005446214 · doi:10.1002/app.49080

Evaluation of thermoplastic polyolefin materials for the hard shed of composite insulators

2020· article· en· W3005446214 on OpenAlexaff
Jia Shi, Hao Dong, Yiwu Quan, Chao Chen, Shanzhi Yan

Bibliographic record

VenueJournal of Applied Polymer Science · 2020
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsPolyolefinMaterials scienceComposite materialComposite numberThermoplasticSiliconeSilicone oil

Abstract

fetched live from OpenAlex

Abstract This article explores the possibility of using polyolefin materials for composite insulator sheds. The transfer component (silicone oil or erucamide) is added into a polyolefin material to improve its hydrophobic properties. Results show that the silicone oil‐modified polyolefin material (polyolefin‐S) exhibited an obvious hydrophobicity transfer property. When the equivalent salt deposit density and nonsoluble deposit density are 0.1 and 0.5 mg/cm 2 , respectively, the static contact angle increases from 75° to 87° as the silicone oil transfer time increases from 24 to 96 hr. Meanwhile, polyolefin‐S exhibits high mechanical strength, hardness, volume resistivity, and surface resistivity values of 21.4 MPa, 62.6 HD, 1.7 × 10 15 Ω m and 1.2 × 10 16 Ω, respectively. Moreover, polyolefin‐S shows excellent tracking and erosion resistance of 4.5 kV level in the inclined plane test. The results verify that the polyolefin material is a promising candidate material for the hard shed of composite insulators.

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)0.004
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.262

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 science0.0010.000
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 head0.037
GPT teacher head0.275
Teacher spread0.238 · 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

Citations15
Published2020
Admission routes1
Has abstractyes

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