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Record W155215911 · doi:10.1021/bk-2006-0938.ch009

The Structure and Mechanical Properties of Cellulose Nanocomposites Prepared by Twin Screw Extrusion

2006· book-chapter· en· W155215911 on OpenAlex
Aji P. Mathew, Ayan Chakraborty, Kristiina Oksman, Mohini Sain

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

VenueACS symposium series · 2006
Typebook-chapter
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceDynamic mechanical analysisExtrusionComposite materialPolylactic acidNanocompositeMicrofiberCelluloseThermal analysisUltimate tensile strengthDispersion (optics)PolymerThermalChemical engineering

Abstract

fetched live from OpenAlex

The goal of this work has been to prepare cellulose nanocomposites of polylactic acid (PLA), cellulose nano whiskers (CNW) and microfibers (MF). Nanocomposites were prepared by pumping an aqueous dispersion of MF and CNW into the PLA during extrusion. The prepared materials were studied using different microscopy methods (TEM, AFM, SEM), X-ray, dynamic mechanic thermal analysis (DMTA) and conventional mechanical testing. The MF was shown to form a network of fibrils while CNW existed as needle shaped crystallites after the isolation process. DMTA and tensile tests indicated no significant improvement in mechanical properties of the composites. This may be attributed to poor dispersion of microfibres and nanowhiskers in PLA.

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 categoriesMeta-epidemiology (narrow)
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 score0.320
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.011
GPT teacher head0.221
Teacher spread0.210 · 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