Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-27T23:47:40.474Z Has data issue: false hasContentIssue false

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 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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