文献类型：期刊文献

中文题名：“饥饿”反应器中自由基聚合动力学模型参数的优化

英文题名：OPTIMAL REGRESSION OF KINETICS MODEL FOR STYRENE POLYMERIZATION IN A SFR

作者：曹贵平[1];朱中南[1];乐慧慧[1];张明华[1];鲁习文[2]

机构：[1]华东理工大学国家理点化学工程联合实验室,上海200237;[2]华东理工大学应用数学系,上海200237

年份：1997

卷号：48

期号：2

起止页码：214

中文期刊名：化工学报

外文期刊名：CIESC Journal

收录：CSTPCD;;EI(收录号：1997463837080);Scopus;北大核心:【北大核心1996】；CSCD:【CSCD2011_2012】；

语种：中文

中文关键词：反应器;聚合;动力学;自由基;模型参数

外文关键词：starved feed' reactor, polymerization kinetics, regression of parameters, objective function, parameter sensitivity

摘要：对“饥饿”反应器中自由基聚合动力学模型参数优化时所采用的目标函数进行分析和讨论,提出相对偏差法、标准化归一法和对数加权法等三个优化参数的目标函数,建立了动力学参数的优化模型,用POWELL算法对建立的三个优化参数的目标函数进行了比较和择优,确定了动力学参数。同时对参数的敏感性分析发明:k_p/(k_t^0)^（1/2）和α的敏感性较高,f不甚敏感。
In the regression of kinetics model for radical polymerization in a 'starved feed' reactor, there are three objectives which have the same status: mass ratio of monomer vs. solvent, solids fraction and number average molecular weight. For the multiple-objective plan, three objective functions are presented and an optimal model of kinetics parameters is set up. The result shows that the model value fits very well with the experimental value. The analysis of objective function's sensitivity to model parameters shows that: kp/ k10^(1/2)and α are more sensitive and initiator efficiency is less sensitive.