Chemical composition distribution of multicomponent copolymers

被引：20

作者：

Anantawaraskul, S

Soares, JBP ^{[1
]}

Wood-Adams, PM

机构：

[1] Univ Waterloo, Dept Chem Engn, Polymer Res Inst, Waterloo, ON N2L 3G1, Canada

[2] McGill Univ, Dept Chem Engn, Montreal, PQ H3A 2B2, Canada

[3] Concordia Univ, Dept Mech & Ind Engn, Montreal, PQ H3G 1M8, Canada

来源：

MACROMOLECULAR THEORY AND SIMULATIONS | 2003年 / 12卷 / 04期

关键词：

chemical composition distribution (CCD); microstructure; Monte Carlo simulation; multicomponent copolymers; terpolymers;

D O I：

10.1002/mats.200390024

中图分类号：

O63 [高分子化学（高聚物）];

学科分类号：

070305 ; 080501 ; 081704 ;

摘要：

The number and weight chemical composition distributions in random terpolymers were derived using a statistical approach. The solution was then generalized to comprise higher multicomponent copolymers. The analytical solution was verified with Monte Carlo simulations and by considering limiting cases. Chemical composition distributions of fractions of random terpolymers of various kinetic chain lengths were also investigated. In a similar way to the results for binary copolymers described by Stockmayer's distribution broadening of the distribution is observed for low-molecular weight chains.

引用

页码：229 / 236

页数：8

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