Skip navigation
  • Home
  • Browse
    • Communities
      & Collections
    • Browse Items by:
    • Publication Date
    • Author
    • Title
    • Subject
    • Department
  • Sign on to:
    • My MacSphere
    • Receive email
      updates
    • Edit Profile


McMaster University Home Page
  1. MacSphere
  2. Open Access Dissertations and Theses Community
  3. Open Access Dissertations and Theses
Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/10508
Title: Emulsion Polymerization of Vinyl Acetate: Particle Size and Molecular Weight Distributions
Authors: Keung, John Chue-Kwok
Advisor: Hamielec, A. E.
Wright, J. D.
Department: Chemical Engineering
Keywords: Chemical Engineering;Chemical Engineering
Publication Date: Apr-1974
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>
URI: http://hdl.handle.net/11375/10508
Identifier: opendissertations/555
1059
868124
Appears in Collections:Open Access Dissertations and Theses

Files in This Item:
File SizeFormat 
fulltext.pdf
Open Access
2.55 MBAdobe PDFView/Open
Show full item record Statistics


Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.

Sherman Centre for Digital Scholarship     McMaster University Libraries
©2022 McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L8 | 905-525-9140 | Contact Us | Terms of Use & Privacy Policy | Feedback

Report Accessibility Issue