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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/10508
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dc.contributor.advisorHamielec, A. E.en_US
dc.contributor.advisorWright, J. D.en_US
dc.contributor.authorKeung, John Chue-Kwoken_US
dc.date.accessioned2014-06-18T16:51:42Z-
dc.date.available2014-06-18T16:51:42Z-
dc.date.created2009-06-10en_US
dc.date.issued1974-04en_US
dc.identifier.otheropendissertations/555en_US
dc.identifier.other1059en_US
dc.identifier.other868124en_US
dc.identifier.urihttp://hdl.handle.net/11375/10508-
dc.description.abstract<p>Emulsion polymerization of vinyl acetate was studied in a batch reactor system. The particle size distribution of the polyvinyl acetate particles was determined by electron microscopy. 'In Situ Polymerization' technique was used to harden the polymer particles before microscopic examination. A light transmission spectrophotometer was calibrated for particle size measurement with the data obtained from election microscopy. A one-parameter exponential function was found to be a good approximation for the polyvinyl acetate particle size distribution. A convenient method which involves the measurement of turbidities at two wavelengths was proposed to determine the particle size distribution.</p> <p>The second part of this thesis deals with the kinetics of vinyl acetate emulsion polymerization. It was found that a rate model similar to Case 1 of Smith-Ewart's theory was able to predict the polymerization rate. A model previously developed in this laboratory was able to predict the molecular weight development in vinyl acetate emulsion polymerization. The logarithmic-normal distribution was a reasonably good approximation for the polyvinyl acetate molecular weight distribution.</p>en_US
dc.subjectChemical Engineeringen_US
dc.subjectChemical Engineeringen_US
dc.titleEmulsion Polymerization of Vinyl Acetate: Particle Size and Molecular Weight Distributionsen_US
dc.typethesisen_US
dc.contributor.departmentChemical Engineeringen_US
dc.description.degreeMaster of Engineering (ME)en_US
Appears in Collections:Open Access Dissertations and Theses

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