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MODELING THERMAL DEGRADATION OF LINEAR POLYMERS

机译:线性聚合物的热劣化

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摘要

A critical component of any mathematical model that attempts to describe the ignition or combustion of a polymer is an expression, or set of expressions, which determines the rate at which combustible products evolve from the solid. Traditional approaches to modelling thermal degradation of solid polymers in the context of combustion have involved the use of sets of rate equations of Arrhenius form. Unfortunately there is little scientific justification for this - other than a posteriori when model predictions are compared with experimental thermogravimetric analyses. In this paper a different approach is taken. Starting from the premise that an individual polymer molecule undergoes scission at a random location, a governing set of differential equations may be derived which determines how the MW distribution evolves in time. Other scission mechanisms, such as end-chain scission, can also be explored using the same technique. Also one can explore unusual scission mechanisms such as θ-scission, where a molecule breaks into two smaller molecules with MW in the ratio θ/(1-θ), or end-bond weighted random scission. The model is an extension of a simpler model published in an earlier paper. Exact solutions are possible for random scission and end-chain scission; these are discussed and compared with experimental thermogravimetric curves.
机译:尝试描述聚合物的点火或燃烧的任何数学模型的关键组分是表达或一组表达,其决定了可燃产物从固体演变的速率。在燃烧背景下,在燃烧背景下建模固体聚合物的热劣化的传统方法涉及使用Arrhenius形式的速率方程组的使用。遗憾的是,对于与实验热重分析进行比较模型预测时,除了模型预测时,除了后验之外,还有很少的科学理由。在本文中,采取了一种不同的方法。从各个聚合物分子在随机位置进行侦测的前提下,可以导出控制微分方程集,这决定了MW分布如何及时发展。还可以使用相同的技术探索其他易于易于群发的群体群,例如终链群。还可以探讨诸如θ-is的异常的易碎机制,其中分子以比率θ/(1-θ)或终键加权随机易于释放的Mw中的两个较小分子。该模型是在早期纸张中发布的更简单型号的扩展。随机群和终链群体可以进行精确的解决方案;这些讨论并与实验热重曲线进行了讨论。

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