Predicting glass transition temperatures of linear polymers, random copolymers and cured reactive oligomers from chemical structure

A reliable semiempirical method for predicting glass transition tempertures of linear polymers, random copolymers, and selected crosslinked networks from knowledge of only their chemical structure is presented. For cases in which new moieties not in the database are encountered, a scaling technique...

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Bibliographic Details
Published in:Journal of polymer science. Polymer physics edition 1985-06, Vol.23 (6), p.1165-1176
Main Authors: WIFF, D. R, ALTIERI, M. S, GOLDFARB, I. J
Format: Article
Language:English
Subjects:
Applied sciences
Exact sciences and technology
Organic polymers
Physicochemistry of polymers
Properties and characterization
Thermal and thermodynamic properties
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Summary:A reliable semiempirical method for predicting glass transition tempertures of linear polymers, random copolymers, and selected crosslinked networks from knowledge of only their chemical structure is presented. For cases in which new moieties not in the database are encountered, a scaling technique of similar moiety contributions has proven successful. The basic database was composed of 178 linear homopolymers ranging from aliphatic to aromatic heterocyclic polymers and 12 random copolymers. The crosslinked networks investigated in this study involved only diacetylene end‐group reactions.
ISSN:0098-1273
1542-9385
DOI:10.1002/pol.1985.180230608