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Record W6999206305

Clay modification for the production of polystyrene nanocomposites by melt processing

2008· dissertation· en· W6999206305 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2008
Typedissertation
Languageen
FieldMaterials Science
TopicPolymer Nanocomposites and Properties
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOrganoclayNanocompositeMontmorillonitePolystyreneThermal stabilityPolymer clayDispersion (optics)Polymer
DOInot available

Abstract

fetched live from OpenAlex

Natural Montmorillonite was modified with thermally stable phosphonium surfactants to produce new organoclays for the production of polymer nanocomposites.The organoclays were characterized to determine thermal stability, basal spacing, and the surface energy at room temperature and at the processing temperature.Polystyrene (PS)/organoclay nanocomposites were prepared by melt compounding, using three different PS resins.Experimental data were obtained to elucidate the influences of temperature and molecular weight and structure of the surfactant on the surface energy of the organoclays.The phosphonium-based organoclays exhibited better thermal stability than commercially available ammonium-based organoclays.The basal spacing was similar to that found in commercially available organoclays.Transmission electron microscopy (TEM) showed that the degree of dispersion of the various organoclays in nanocomposites was related to the Hamaker constant of the organoclay at the processing temperature.Significant improvement in the degree of dispersion was realized, when blends of polystyrene with a styrene-maleic anhydride (SMA) copolymer were used.It appeared that delamination in the SMA systems was achieved directly without undergoing an intermediate intercalated structure.The influence of organoclay concentration on flexural modulus of PS-organoclay nanocomposites was determined, using the Halpin-Tsai and Hui-Shai models.The predictions were in good agreement with experimental results.The modulus of PS nanocomposites correlated well with the work adhesion at room temperature, in agreement with the equation of Shang.Barrier properties showed reasonable agreement with the predictions of models reported in literature.However, the values of aspect ratios predicted by the models were quite different from those observed experimentally.The permeability of nanocomposites to oxygen correlated with both the Hamaker constant A 131 at the processing temperature and the initial basal spacing of the organoclay.In both cases, permeability decreased with the corresponding parameter.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.087
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.023
GPT teacher head0.253
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations0
Published2008
Admission routes1
Has abstractyes

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