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.

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。