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Record W1770835260 · doi:10.3139/217.3080

Enhanced Film Blowing of Polylactide by Incorporating Branched Chains and Stereocomplex Crystals

2015· article· en· W1770835260 on OpenAlex
Sahar Nouri, Pierre G. Lafleur, Charles Dubois

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

VenueInternational Polymer Processing · 2015
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMaterials scienceCrystallizationComposite materialPolymerPlastics extrusionCharacterization (materials science)Blowing agentChemical engineeringPolymer chemistryNanotechnology

Abstract

fetched live from OpenAlex

Abstract Chain architecture is an influential parameter in melt processing of polymeric material. In this study effect of different chain structures on polylactide (PLA) film blowing process and on the final film properties was investigated. Blends of linear PLA with three branched poly(L-lactide)s with 4-arms star shaped, comb like and hyper branched structures were prepared by twin screw extruder. In another series of blending, poly(D-lactide) of these branched structures were used to obtain stereocomplex crystal. Operating window of blends were determined in a series of film blowing process experiments with different blow up and take up ratio and results were compared to linear PLA as a reference. Moreover, different characterization techniques were applied to determine the properties of produced films. It was found that addition of branched architecture and presence of stereocomplex in a linear PLA matrix result in a greater operating window for film blowing and improve mechanical and crystallization properties of blown films.

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 score0.042
Threshold uncertainty score0.584

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 communication0.0000.001
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 head0.032
GPT teacher head0.263
Teacher spread0.230 · 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