Population-based models of thermoplastic degradation: Using optimization to determine model parameters

被引：26

作者：

Bruns, M. C. ^{[1
]}

Koo, J. H. ^{[1
]}

Ezekoye, O. A. ^{[1
]}

机构：

[1] Univ Texas Austin, Dept Mech Engn, Austin, TX 78712 USA

来源：

POLYMER DEGRADATION AND STABILITY | 2009年 / 94卷 / 06期

关键词：

TGA; Population balance equations; Radical depolymerization; Moment methods; Optimization; THEORETICAL DEPOLYMERIZATION KINETICS; MOLECULAR-WEIGHT DISTRIBUTION; RANDOM-SCISSION; LINEAR-POLYMERS; THERMAL-DECOMPOSITION; POLY(METHYL METHACRYLATE); DEGRADING POLYMERS; DYNAMICS; POLYETHYLENE; INITIATION;

D O I：

10.1016/j.polymdegradstab.2009.02.007

中图分类号：

O63 [高分子化学（高聚物）];

学科分类号：

070305 ; 080501 ; 081704 ;

摘要：

A comparison of different model forms for non-oxidative thermoplastic degradation rate is presented. A physically meaningful model is derived from a three-step radical depolymerization mechanism. A moment-based approximation to the population balance equations is derived and implemented to predict the thermal degradation of polyethylene (PE) and poly(methyl methacrylate) (PMMA). In the absence of accurate molecular dynamical Calculations to predict the controlling model parameters, it is necessary to use experimental data to find the best fit parameter values. A sequential quadratic programming algorithm (SQP) was used to find the set of parameters that minimized the error between the model and sets of non-isothermal thermogravimetric (TG) data at different heating rates for PE and PMMA. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1013 / 1022

页数：10

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