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Investigating the effect of co‑catalyst on the final product properties and the yield of ziegler–natta catalyst in propylene polymerization in optimum temperature reaction in absence of hydrogen via mathematical model

机译:通过数学模型研究在无氢的最佳温度反应中助催化剂对丙烯聚合中最终产物性质和齐格勒-纳塔催化剂产率的影响

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摘要

Co-catalyst has several roles in propylene polymerization such as site activation, chain transfer, site transformation andPoisson deactivation (or Poisson scavenger). These functionalities strongly impact the most important of the final productproperties indices namely the number and weight average. Molecular weight, polydispersity index, melt flow index andeven the yield of Ziegler–Natta catalyst. Therefore, the Co-catalyst role as an independent process variable should be carefullyinvestigated in the polymerization. In this study, investigating the co-catalyst effects on the final properties indicesand the yield of the catalyst as the existing gap was defined as the aims of this study. We attempt to reply to the problemsin a proper way in the absence of hydrogen and at the optimal temperature reaction by proposing a newly developedmathematical model. This model was programmed in MATLAB & Simulink software, then was validated by using experimentaldata. Through the model, the optimal amount of the used co-catalyst could be determined conveniently.
机译:助催化剂在丙烯聚合中具有多种作用,例如位点活化,链转移,位点转化和泊松停用(或泊松清除剂)。这些功能强烈影响最终产品中最重要的功能性能指标即数量和重量平均值。分子量,多分散指数,熔体流动指数和甚至齐格勒-纳塔催化剂的收率。因此,应谨慎考虑助催化剂作为独立过程变量的作用在聚合中进行了研究。在这项研究中,研究助催化剂对最终性能指标的影响本研究的目的是将催化剂的收率作为现有的缺口。我们试图回答问题通过提出一种新开发的方法,在没有氢的情况下以适当的方式在最佳温度下进行反应数学模型。该模型在MATLAB&Simulink软件中编程,然后通过实验验证数据。通过该模型,可以方便地确定所用助催化剂的最佳用量。

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