Abstract

In this study, we investigate the effect of temperature reaction and hydrogen amount as the most effective process variables on Ziegler–Natta catalysts; with the aim of evaluating their effects on how to grow molecular weight and its dispersity during polypropylene polymerization with the aid of a validated mathematical model. The used approach in modeling is polymer moment balance technique (population balance approach) in MATLAB/SIMULINK environment, and then the model has been validated by experimental data come from a laboratory scale reactor. The main target of this study is to gain considerable insight into Ziegler–Natta catalyst performance against changing of the variables. The model might be applicable for the catalyst makers to evaluate and to improve their catalysts and also could be useful for process chemical engineers to easily operate the plant, to replace a new catalyst, to optimize process conditions and to generate new formulation for a new grade.

中文翻译：

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通过验证的数学模型研究聚丙烯在聚合过程中分子量的增长及其分散度

摘要

在这项研究中，我们研究温度反应和氢气量对齐格勒-纳塔催化剂最有效的工艺变量的影响。目的是借助已验证的数学模型评估它们对聚丙烯聚合过程中分子量增长及其分散度的影响。建模中使用的方法是在MATLAB / SIMULINK环境中使用聚合物矩平衡技术（种群平衡方法），然后通过实验室规模的反应器提供的实验数据对模型进行了验证。这项研究的主要目标是深入了解齐格勒-纳塔催化剂对抗变量变化的性能。