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Record W6990604484

Effects of pressure and dissolved carbon dioxide on the rheological properties of molten polymers

2005· dissertation· en· W6990604484 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2005
Typedissertation
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsCarbon dioxideHigh pressureRheologyPolymer
DOInot available

Abstract

fetched live from OpenAlex

L'auteur a accordé une licence non exclusive permettant à la Bibliothèque et Archives Canada de reproduire, publier, archiver, sauvegarder, conserver, transmettre au public par télécommunication ou par l'Internet, prêter, distribuer et vendre des thèses partout dans le monde, à des fins commerciales ou autres, sur support microforme, papier, électronique et/ou autres formats.L'auteur conserve la propriété du droit d'auteur et des droits moraux qui protège cette thèse.Ni la thèse ni des extraits substantiels de celle-ci ne doivent être imprimés ou autrement reproduits sans son autorisation.Conformément à la loi canadienne sur la protection de la vie privée, quelques formulaires secondaires ont été enlevés de cette thèse.Bien que ces formulaires aient inclus dans la pagination, il n'y aura aucun contenu manquant.• • iii A bstract Supercritical carbon dioxide (SC-C02) is used as a physical blowing agent III the manufacture of plastic foam and as a plasticizer to reduce melt viscosity during processing.Pressure is also an important variable for processing, and the combined effects of dissolved SC-C02 and pressure on rheological properties must be known to achieve optimum processing conditions.However, until recently there was no method to measure these effects accurately.A high-pressure sliding plate rheometer in which the shear rate, temperature, pressure, and C02 concentration are uniform, was used in the present study.The effects of C02 and pressure on the viscosity, stress growth function, and creep compliance of a high density polyethylene (HDPE) were determined.To separate the effects of pressure and C02, samples were first pressurized without C02, and then pressurized and saturated with CO 2 .It was possible to use shift factors for pressure and C02 concentration to obtain a master curve.For the purpose of comparison, the effect of nitrogen on the viscosity is also determine.Another important concern in plastics processing is molecular structure, which has a strong effect on melt flow properties.The effects of long-and short-chain branching and side groups on the pressure sensitivity of viscosity were also determined in this project.• • iv Résumé Le carbone dioxyde supercritique (SC-C0 2 ) est utilisé comme agent physique d'expansion dans la manufacture de mousses plastiques et comme plastifiant pour réduire la viscosité à l'état fondu durant le traitement.La pression est aussi une variableimportante pour la transformation, et les effets combinés du SC-C02 dissout et de la pression sur les propriétés rhéologiques doivent être connu pour obtenir des conditions de traitements optimales.Cependant, jusqu'à récemment il n'y avait pas de méthode pour mesurer ces effets de façon précise.Un rhéomètre àplaque glissante haute pression,dans laquelle la température, la pression, et la concentration en C02 sont uniformes a été utilisé dans cette étude.Les effets du CO 2 et de la pression sur la viscosité, la fonction d'augmentation du stress, conformité de rampement, du polyéthylène à haute densité (HDPE) ont été déterminés.Pour séparer les effets du a la pression et au CO 2 , des échantillons ont été d'abord pressurisé sans C02, et ensuite pressurisé et saturé en C02.Il a été possible d'utiliser des facteurs de glissement pour la pression et la concentration en C02 pour obtenir une courbe maîtresse.Un autre point important dans le traitement des plastiques est la structure moléculaire, qui a e un important effets sur les propriétés d'écoulement.Les effets de branchage des longues et courtes chaînes et des groupes latéraux sur la sensibilité à la pression de la viscosité on aussi été déterminé au cours de ce projet.• • v Acknow ledgement It is my greatest honor to express appreciation to my mentor Prof. John M. Dealy.His full support, inciuding advice for academic research, patience, concerns, understanding, financial support, and opportunity for research, is too valuable for words. 1 would like to express my thank to Mr. Charles Dolan

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.261
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2005
Admission routes1
Has abstractyes

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