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Record W2039412119 · doi:10.1002/pc.20774

Processing and properties of PLA/thermoplastic starch/montmorillonite nanocomposites

2009· article· en· W2039412119 on OpenAlex

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.

Bibliographic record

VenuePolymer Composites · 2009
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsPolytechnique MontréalNational Research Council Canada
Fundersnot available
KeywordsMaterials scienceExfoliation jointMontmorilloniteComposite materialUltimate tensile strengthNanocompositePolylactic acidThermoplasticExtrusionFracture toughnessToughnessScanning electron microscopePolymerGraphene

Abstract

fetched live from OpenAlex

Abstract Thermoplastic starch (TPS) and polylactic acid (PLA) were compounded with natural montmorillonite (MMT) using a twin‐screw extrusion process to investigate the structure and properties of these nanocomposites and to examine the use of water to enhance clay exfoliation. Tensile and essential work of fracture measurements were performed on standard dumbbell shape samples and on double notched samples to determine the effect of MMT and PLA/TPS interfacial modification on the mechanical and fracture properties of the materials. The nanocomposite structure was investigated using X‐Ray diffraction, transmission electron microscopy, and atomic force microscopy. Differential scanning calorimetric analysis was performed on the materials to determine the effect of TPS and MMT on PLA crystallization and physical aging. It was found that the TPS can intercalate the clay structure and that the clay was preferentially located in the TPS phase or at the blend interface. This led to an improvement in tensile modulus and strength and to a reduction in fracture toughness. POLYM. COMPOS., 2010. © 2009 Society of Plastics Engineers

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 score0.143
Threshold uncertainty score0.766

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 head0.019
GPT teacher head0.214
Teacher spread0.194 · 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