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Numerical Techniques for the Solution of the Molecular Weight Distribution in Polymerization Mechanisms, State of the Art

机译:聚合机制中分子量分布溶液的数值技术,现有技术

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摘要

The molecular weight distribution (MWD) is possibly the most important characteristic of a polymer. Polymers derive many of their physical properties from their MWD. Therefore, since the origins of polymer science, the theory provides a link between the kinetic mechanism and the mathematical expression of the MWD, and there are analytical solutions for ideal cases. However, the MWD formed in real-life polymerization processes is usually more complex; the solution of the mathematical models that describe them can be quite challenging and has been the focus of enormous research efforts. These models may consist of systems of very large dimension: thousands of differential equations, often stiff, which demand special numerical techniques for their solution. In this paper the numerical techniques that can be used to solve this challenging problem are reviewed and contrasted, including weighted residual methods, direct integration, numerical inversion of transformed equations, and lumping methods. Stochastic techniques are also surveyed.
机译:分子量分布(MWD)可能是聚合物最重要的特征。聚合物从他们的MWD中衍生出许多物理性质。因此,由于聚合物科学的起源,该理论提供了动力学机制与MWD的数学表达之间的联系,并且存在理想情况的分析解决方案。然而,在现实寿命聚合过程中形成的MWD通常更复杂;描述它们的数学模型的解决方案可以是非常具有挑战性的,并且是巨大的研究工作的焦点。这些型号可以包括非常大的尺寸的系统:数千个微分方程,通常是僵硬的,这需要其解决方案的特殊数值技术。在本文中,可以使用用于解决这一具有挑战性问题的数值技术进行综述和对比,包括加权残余方法,直接集成,转化的方程的数值反演和集合方法。随机技术也得到了调查。

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