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Modeling of Polymer Network Formation from Preformed Precursors

机译:预制前体形成聚合物网络的建模

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Statistical and kinetic methods of modeling of polymer networks formation from pre-prepared precursors are described and illustrated. Such precursors are characteristic of distributions of molecular weight and numbers of reactive groups of distinguishable type and reactivity, and contain branch points which get elastically active in the crosslinking stage. The examples include telechelic polymers with functionality distribution, functional copolymers composed of functional and non-functional units and groups of different reactivity. The basics of statistical and kinetic network formation methods are outlined and their adaptation to cover the non-uniform collection of precursor molecules as one of the components. The distributions of properties of the precursors are expressed by probability generating functions which serve as input for the cross-linking stage.
机译:描述和说明了由预先制备的前体形成的聚合物网络形成模型的统计和动力学方法。这样的前体具有分子量分布和可区分类型和反应性的反应性基团的数量的特征,并且包含在交联阶段具有弹性活性的支化点。实例包括具有官能分布的远螯聚合物,由官能和非官能单元以及不同反应性基团组成的官能共聚物。概述了统计和动力学网络形成方法的基础,并介绍了它们的适应性,以涵盖作为组分之一的前驱分子的不均匀收集。前体的特性分布由概率生成函数表示,该函数用作交联阶段的输入。

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  • 来源
    《Macromolecular reaction engineering》 |2012年第11期|p.426-445|共20页
  • 作者单位

    Institute of Macromolecular Chemistry, Academy of Sciences of the Czech Republic, v.v.i., 162 06 Prague, Czech Republic,Department of Bioengineering, University of Utah, Salt Lake City, UT 84112, USA;

    Institute of Macromolecular Chemistry, Academy of Sciences of the Czech Republic, v.v.i., 162 06 Prague, Czech Republic;

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