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Influence of Carbon Fiber Addition in Physical-Thermal Properties of Composites Obtained by RTM

2013· article· en· W2016995076 on OpenAlexvenueno aff
Sérgio Roberto Montoro, Isabelle Catarina de Paula, Thatiane Brocks, Cirlene Fourquet Bandeira, Herman Jacobus Cornelis Voorwald, Maria Odila Hilário Cioffi

Bibliographic record

VenueJournal of Research Updates in Polymer Science · 2013
Typearticle
Languageen
FieldEngineering
TopicEpoxy Resin Curing Processes
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsMaterials scienceComposite materialDifferential scanning calorimetryEpoxyThermogravimetric analysisGlass transitionDynamic mechanical analysisComposite numberThermalThermal analysisPolymerGravimetric analysisThermomechanical analysisCarbon fiber compositeFiberThermal expansionChemical engineeringThermodynamics

Abstract

fetched live from OpenAlex

This work aims to study the influence of carbon fibers addition in physical-chemical properties of bicomponent epoxy resin, produced by POLIPOX, in a composite obtained by RTM. Thermal analyses (DSC (Differential Scannig Calorimetry), TGA (Thermal Gravimetric Analysis) and DMA (Dynamic-mechanical Analysis) were performed in order to compare the results and observe the reinforcement influence on the resin properties. Increased glass transition values and degradation temperatures show that fibers cause a reduction in the molecular motion of polymer chains.

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)0.001
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 score0.008
Threshold uncertainty score0.345

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.015
GPT teacher head0.286
Teacher spread0.271 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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