OPTIMAL REGRESSION OF KINETICS MODEL FOR STYRENE POLYMERIZATION IN A SFR

曹贵平; 朱中南; 乐慧慧; 张明华; 鲁习文

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OPTIMAL REGRESSION OF KINETICS MODEL FOR STYRENE POLYMERIZATION IN A SFR

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- OPTIMAL REGRESSION OF KINETICS MODEL FOR STYRENE POLYMERIZATION IN A SFR
- CIESC Journal Issue 2, (1997)
- 作者机构：
  
  华东理工大学国家理点化学工程联合实验室,华东理工大学国家理点化学工程联合实验室,华东理工大学国家理点化学工程联合实验室,华东理工大学国家理点化学工程联合实验室,华东理工大学应用数学系上海200237,上海200237,上海200237,上海200237,上海,200237
- 作者简介：
- 基金信息：
- DOI：
  CLC： Q316.3
- Online First：25 April 1997，
  
  Published：25 April 1997
- 稿件说明：
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曹贵平, 朱中南, 乐慧慧, et al. OPTIMAL REGRESSION OF KINETICS MODEL FOR STYRENE POLYMERIZATION IN A SFR[J]. CIESC Journal, 1997, (2).
DOI：

曹贵平, 朱中南, 乐慧慧, et al. OPTIMAL REGRESSION OF KINETICS MODEL FOR STYRENE POLYMERIZATION IN A SFR[J]. CIESC Journal, 1997, (2). DOI：

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。

Abstract

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 functions sensitivity to model parameters shows that: kp/ k10~(1/2)and α are more sensitive and initiator efficiency is less sensitive.

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