Abstract

Because of the inherent complexity of a Ziegler–Natta catalyst, its performance during propylene polymerization against the particular process variables, namely, the reaction temperature and hydrogen amounts, so far remains unclear. Obviously, these process variables directly affect the catalyst residence time, monomer conversion, and heat generation. Understanding these issues is essential for those working in the field such as catalyst chemists, polymer scientists, process engineers, designers, and producer licensors. The main aim of this work is to cover the existing gap in this field by proposing a mathematical kinetics model. The modeling approach is based on the polymer moment balance technique and validated via experimental data from a lab-scale reactor. The results of this study showed that the model has achieved the defined aims properly. Two significant conclusions were obtained. Firstly, only temperature increase has a significant effect on the conversion percent increase and hydrogen has no effect on it. Secondly, hydrogen not only increases the rate of polymerization, but also raises the deactivation constant and reduces the lifetime of the catalyst.

中文翻译：

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通过数学模型确定丙烯聚合过程中工艺变量的催化剂停留时间，生热和单体转化率

摘要

由于齐格勒-纳塔催化剂的内在复杂性，到目前为止，其在丙烯聚合过程中针对特定工艺变量（即反应温度和氢气量）的性能尚不清楚。显然，这些工艺变量直接影响催化剂的停留时间，单体转化率和发热。对于这些领域的工作人员，例如催化剂化学家，聚合物科学家，工艺工程师，设计师和生产商许可人，了解这些问题至关重要。这项工作的主要目的是通过提出数学动力学模型来弥补该领域中的现有空白。该建模方法基于聚合物矩平衡技术，并通过实验室规模反应器的实验数据进行了验证。这项研究的结果表明，该模型已正确实现了定义的目标。获得了两个重要的结论。首先，仅温度升高对转化率增加有显着影响，而氢对其没有影响。其次，氢不仅增加了聚合速率，而且提高了失活常数并缩短了催化剂的寿命。