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Record W2093877733 · doi:10.1002/pen.21295

Potential of ball milling to improve clay dispersion in nanocomposites

2009· article· en· W2093877733 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 Engineering and Science · 2009
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Nanocomposites and Properties
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsMaterials scienceMicrostructureBall millCompoundingNanocompositeRheologyMontmorillonitePolypropyleneComposite materialDispersion (optics)Dynamic mechanical analysisBall (mathematics)Polymer

Abstract

fetched live from OpenAlex

Abstract The preparation of exfoliated polymer nanocomposites (PNC) in nonpolar system is still preoccupying researchers in the domain. The ball milling coupled with melt‐compounding was used for the preparation of polypropylene/montmorillonite PNC to evaluate the potential of ball milling in the improvement of clay dispersion. Different approaches were used for doing a preliminary ball milling of clay with or without coupling agent and of all components prior to melt‐compounding. The microstructure as well as the rheological and the dynamic mechanical behaviors of the PNC compounds were characterized. The best improvements in clay dispersion were obtained by ball milling clay in the presence of other components to reduce particle agglomeration. The rheological behavior of the compounds confirmed their microstructure. The thermomechanical properties of PNC showed an enhancement in the storage modulus in the glassy and the rubbery states, independent of their microstructure. POLYM. ENG. SCI., 2009. © 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 score0.016
Threshold uncertainty score0.367

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 head0.004
GPT teacher head0.200
Teacher spread0.196 · 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