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Probability models in polymer science

Published online by Cambridge University Press:  01 July 2016

Douglas R. Miller*
Affiliation:
The George Washington University

Extract

Polymeric materials are encountered everywhere: rubber, plastics, paint, soft contact lenses; the list is endless. There are two basic types of polymer, linear and non-linear. The linear polymers can be envisioned as a mass of long spaghetti-like strands. The molecules of non-linear polymers have a branched tree-like structure and can form ‘infinite’ networks. The basic building blocks of polymers are monomers. Monomers have reactive sites: chemical bonds can form between sites on different monomers leading to the formation of many monomers into a large molecule (polymer). If all monomers have one or two reactive sites, linear polymers result. If some of the monomers have three or more reactive sites, a non-linear (branched) molecule results. For many materials the reaction between monomers can be modelled as a random process; thus probability theory is the natural tool for studying polymers.

Type
Applied Probability in Biology and Engineering. An ORSA/TIMS Special Interest Meeting
Copyright
Copyright © Applied Probability Trust 1984 

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References

[1] Macosko, C. W. and Miller, D. R. (1976) A new derivation of average molecular weights of nonlinear polymers. Macromolecules 9, 199206.Google Scholar
[2] Miller, D. R. and Macosko, C. W. (1976) A new derivation of post-gel properties of network polymers. Macromolecules 9, 206211.Google Scholar
[3] Miller, D. R., Valles, E. M. and Macosko, C. W. (1979) Calculation of molecular parameters for stepwise polyfunctional polymerization. Polymer Engineering Sci. 19, 272283.Google Scholar