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Record W2514077337 · doi:10.3139/217.3240

Effect of Coupling Agent and Ground Tire Rubber Content on the Properties of Natural Fiber Polymer Composites

2016· article· en· W2514077337 on OpenAlex
Navid Nikpour, Denis Rodrigue

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Polymer Processing · 2016
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceComposite materialHigh-density polyethyleneUltimate tensile strengthFlexural strengthComposite numberToughnessPolyethyleneIzod impact strength testFiberCompoundingNatural fiberNatural rubber

Abstract

fetched live from OpenAlex

Abstract In this work, high density polyethylene (HDPE)/hemp fiber composites were produced by extrusion compounding followed by injection molding. In particular, the effect of ground tire rubber (GTR) and coupling agent (maleated polyethylene, MAPE) content was studied to modify the mechanical properties of these natural fiber composites (NFC). From the samples produced, a complete characterization was performed including morphology, density, hardness, as well as mechanical properties in tension, flexion, and impact. The results indicate that substantial improvement in NFC impact strength occurred after GTR addition, while tensile and flexural moduli/strengths decreased. On the other hand, the addition of a coupling agent was able to improve adhesion between each phase resulting in better composite properties. Overall, the final properties of the composites represent a balance between elasticity/toughness from GTR and rigidity/strength from hemp and MAPE. From the data obtained, a regression model for different properties is presented to design/control the final properties of these composites.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.324

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 head0.022
GPT teacher head0.252
Teacher spread0.231 · 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