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Record W4210564101 · doi:10.1002/app.52231

Dispersion of flame‐retardant powdered phosphorylated kraft pulp fibers in polyester resin and their effect on the flammability of glass‐reinforced composites

2022· article· en· W4210564101 on OpenAlexafffund
Zahahe Oulame Mouandhoime, Gilbert Lebrun, François Brouillette

Bibliographic record

VenueJournal of Applied Polymer Science · 2022
Typearticle
Languageen
FieldMaterials Science
TopicFlame retardant materials and properties
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFlammabilityMaterials scienceFire retardantComposite materialFlame spreadPolyesterKraft paperGlass fiberComposite numberDispersion (optics)Polyester resinCombustionOrganic chemistryChemistry

Abstract

fetched live from OpenAlex

Abstract Materials used in many sectors like building or transportation must respect flame resistance standards. In this work, a dispersion of flame retardant phosphorylated kraft fibers (PKF), used in replacement of aluminum trihydroxide (ATH) in a polyester resin of a glass‐reinforced composite laminate, and their impact on the flame retardancy of the material was investigated. SEM and EDS images showed a regular and homogeneous distribution of PKF in the resin matrix. The addition of PKF in the resin has a significant impact on the flammability parameters of the composite. For the tested experimental conditions, powdered PKF can be dispersed into the resin at a maximum powder/resin ratio of 20 wt% to maintain a low enough viscosity of resin for molding and procure a significant weight reduction of the laminate. However, there seems to be several unprotected areas in the material, by either PKF or ATH, that could promote flame propagation and smoke emission. Complete coverage of laminate with PKF will need to be achieved for a complete substitution of ATH.

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 score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.007
GPT teacher head0.198
Teacher spread0.192 · 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

Citations3
Published2022
Admission routes2
Has abstractyes

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