Progress in Statistical Theory on the Step-Growth Polymerization—The Recursive Approach

Dingsheng Yu

doi:10.14028/j.cnki.1003-3726.1990.01.005

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Progress in Statistical Theory on the Step-Growth Polymerization—The Recursive Approach

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- Progress in Statistical Theory on the Step-Growth Polymerization—The Recursive Approach
- Polymer Bulletin Vol. 3, Issue 1, Pages: 27-33(1990)
- 作者机构：
  
  北京化工学院应用化学系，北京
- 作者简介：
- 基金信息：
- DOI：10.14028/j.cnki.1003-3726.1990.01.005
  CLC：
- Published：1990，
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Dingsheng Yu. Progress in Statistical Theory on the Step-Growth Polymerization—The Recursive Approach. [J]. Polymer Bulletin 3(1):27-33(1990)
DOI：

Dingsheng Yu. Progress in Statistical Theory on the Step-Growth Polymerization—The Recursive Approach. [J]. Polymer Bulletin 3(1):27-33(1990) DOI： 10.14028/j.cnki.1003-3726.1990.01.005.

摘要

本文介绍和评述了Maeosko等提出的聚合反应的新统计理论——递归计算法。该理论是基于逐步聚合过程的一级Markov统计特性以及这种链的递归性质。运用这种方法可以直接计算复杂的线性共聚体系的分子量、链长和序列分布等平均值，与其它统计方法相比，具有简单、通用性的优点。

Abstract

A new statistical theory on the Step-Growth Polymerization—recursive approach developed by Macosko and Miller has been introduced and reviewed. The approach relies on the first order Markovian statistical character of Step-Growth Polymerization process and on the recursive nature of this type of chain. It is applicable to calculate directly average values of molecular weight

chain length and sequence distribution in complex linear copolymerization system. This method has the advantages of simplieity and universality compared with other methods.

关键词

统计理论逐步增长聚合递归法

Keywords

Statistical TheoryStep-Growth PolymerizationRecursive Approach

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School of Chemistry and Environment,South China Normal University

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