Model Network Polymers.

Abstract

Under this grant we applied and extended a recursive theory which describes structural features of crosslinking polymers. We developed experimental techniques for synthesizing and characterizing model networks of polydimethylsiloxane. We successfully applied the recursive theory to predict basic structural parameters like: molecular weight, gel point and sol fraction at various stages during network formation. A recursive relation for the weight average molecular weight of the longest linear chain through the molecule was developed and found to correlate viscosity rise during network polymerization. Sol fraction results were used with the theory to predict crosslink density, junction functionality and trapped entanglement fraction. These parameters were used to test classical and more recent theories of rubber elasticity against stress strain response of the silicone networks. The contribution of chain-chain interactions, often called entanglements, was found to be significant. Twenty publications are listed in the report.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1982
Accession Number
ADA119969

Entities

People

  • Christopher W. Macosko

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Chemical Engineering
  • Chemistry
  • Copolymerization
  • Elastic Properties
  • Engineering
  • Engineers
  • Equations
  • Light Scattering
  • Macromolecules
  • Materials
  • Materials Science
  • Molecular Weight
  • Molecules
  • Network Science
  • Polymerization
  • Polymers
  • Viscosity

Readers

  • Fluid Dynamics.
  • Polymer Science and Technology
  • Statistical inference.