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Record W2105350072 · doi:10.1002/adv.20270

Rheological, Mechanical and Barrier Properties of Multilayer Nylon/Clay Nanocomposite Film

2011· article· en· W2105350072 on OpenAlexaff
F. Sadeghi, Maryam Fereydoon, Abdellah Ajji

Bibliographic record

VenueAdvances in Polymer Technology · 2011
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Nanocomposites and Properties
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMaterials scienceNanocompositeNylon 6Composite materialExtrusionDifferential scanning calorimetryPolyethyleneUltimate tensile strengthPolymerLayer (electronics)

Abstract

fetched live from OpenAlex

Abstract Multilayer films consisting of a core layer of nylon 6 sandwiched between two linear low‐density polyethylene layers were produced using a semi‐industrial cast film extrusion line. The core film was produced at different draw ratios from neat nylon and nylon/clay nanocomposite resins. The objective was to assess the replacement of neat nylon with a nylon/clay nanocomposite for the core layer of a multilayer film. Rheological experiments were carried out to characterize the resins and study the aspects of the extrusion process. It was observed that clay platelets could restrict chain mobility and intensify thermal degradation in melt processing; however, that could be balanced to some degree with a polycondensation reaction that increases the chain length and molecular weight. The crystalline structure of the films was examined by X‐ray, differential scanning calorimetry, and Fourier transform infrared measurements. The clay inclusion favored the γ‐phase crystalline phase, which showed a lower melting point. Increasing the draw ratio from 6.5 to 13 during the extrusion process did not have a significant impact on the orientation of either nylon or nylon/clay in the core layer. The physical and mechanical properties of the films were studied and discussed. Replacement of nylon with the nylon/clay nanocomposite in the core layer did not yield a notable improvement in the tensile properties of multilayer films. However, the oxygen barrier property was improved by 48% when the nylon/clay nanocomposite was used as the core layer. The haze property was not affected by either changing the draw ratio or using the nanocomposite instead of nylon. © 2011 Wiley Periodicals, Inc. Adv Polym Techn 32: E53–E64, 2013; View this article online at wileyonlinelibrary.com . DOI 10.1002/adv.20270

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.017
GPT teacher head0.231
Teacher spread0.214 · 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 source (direct Gemma or distilled Codex), 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

Citations15
Published2011
Admission routes1
Has abstractyes

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