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Record W2138013760 · doi:10.1177/1528083712447311

Coating carbon fibres with hybrid polymers for use at high temperatures

2012· article· en· W2138013760 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Industrial Textiles · 2012
Typearticle
Languageen
FieldEngineering
TopicTribology and Wear Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceThermogravimetric analysisCoatingComposite materialThermal stabilityPolymerUltimate tensile strengthScanning electron microscopeMicroscale chemistrySubstrate (aquarium)Carbon fibersContact angleAdhesionChemical engineeringComposite number

Abstract

fetched live from OpenAlex

A thermal resistance coating of different high temperature resistance polymers, e.g. polysilazane and polysiloxane was applied to a carbon roving by a continuous dip coating method. Improved mechanical and thermal resistance properties of the coated carbon roving were evaluated by thermogravimetric analysis and tensile property testing under thermal stress. Investigation of the mechanical properties of coated carbon roving revealed a significant increase in their breaking strength, which amounted to more than 50% as compared to uncoated roving. The thermal stability as well as the oxidation protection of the coated sample in ambient air at temperatures up to 800℃ was much higher than that of the control sample. Topographical phenomena occurring due to the coating on the microscale were examined by scanning electron microscopy and energy dispersive X-ray analysis. The surface energy and the adhesion property of the coated substrate were determined by measuring the contact angle.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.389

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)0.0000.000

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 head0.026
GPT teacher head0.227
Teacher spread0.201 · 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