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Record W2997909612 · doi:10.1002/app.48896

Effect of incorporation of microstructured carbonized cellulose on surface and mechanical properties of epoxy composites

2019· article· en· W2997909612 on OpenAlexaff
Mattia Bartoli, Carlo Rosso, Mauro Giorcelli, Massimo Rovere, Pravin Jagdale, Alberto Tagliaferro, Michael Chae, David C. Bressler

Bibliographic record

VenueJournal of Applied Polymer Science · 2019
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsUniversity of AlbertaOntario Tech University
Fundersnot available
KeywordsMaterials scienceCarbonizationCelluloseComposite materialPyrolytic carbonUltimate tensile strengthEpoxyElongationCarbon fibersParticle (ecology)Cellulose fiberRodFiberComposite numberChemical engineeringPyrolysisScanning electron microscope

Abstract

fetched live from OpenAlex

ABSTRACT In this study, we reported the use of cellulose derived microstructured biochars for the production of reinforced plastics. Cellulose nanocrystals and wasted cotton fibers were used as cellulose template structures and converted into carbonaceous materials under pyrolytic conditions. Biochars particles were produced with the shape of deformed spheres or rods and dispersed into an epoxy matrix with a loading ranging from 1 wt % to 10 wt %. Biochar‐based composites showed remarkably elongation properties of up to 8.2% using 2 wt % of carbonized cellulose nanocrystals and a very low friction coefficient of 0.22 using 10 wt % of carbonized cotton fibers. © 2020 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019 , 137 , 48896. HIGHLIGHTS Carbon spheres and carbon rods were produced through pyrolytic conversion of cellulose nanocrystals and wasted cotton fibers. Mechanical properties of carbon spheres and carbon rods epoxy composites were studied showing the differences induced by the particle shapes. An ultimate tensile strength improvement of 57% was reached using 5 wt % of carbonized cellulose nanocrystals. A maximum elongation improvement of 100% was reached using 2 wt % of carbonized cellulose nanocrystals. A friction coefficient reduction of 61% was reached using 10 wt % of carbonized cotton fibers.

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 score0.002
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.005
GPT teacher head0.214
Teacher spread0.209 · 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

Citations26
Published2019
Admission routes1
Has abstractyes

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