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首页> 外文期刊>Journal of Applied Polymer Science >Olefin Polymerization Using Supported Metallocene Catalysts:Process Representation Scheme and Mathematical Model
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Olefin Polymerization Using Supported Metallocene Catalysts:Process Representation Scheme and Mathematical Model

机译：负载型茂金属催化剂的烯烃聚合：过程表示方案和数学模型

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A mathematical model,including the main morphological features of the polymerization process ,is developed to study olefin polymerization with supported metallocene catalysts.Because the relatively large amount of methyl alumoxane (MAO) usually needed as a cocatalyst represents a disadvantage,the model introduces a scheme that simulates the results of the efforts being made in a supported catalyst to reduce MAO requirements to commercially acceptable levels.Critical fragmentation steps in the initial support-catalyst particles that render all active sites effectively available to the monomer are specifically considered,on the basis of the support morphological characteristics.With the available reaction data,fragmentation representation alternatives are discussed and a scheme proposed.Then,a mathematical model is developed based on the above representation scheme,to calculate monomerconcentration,temperature,and macroparticle-size evolutions.The main features of the scheme are displayed and discussed.Both for laboratory and high-productivity conditions,the model is used to predict changes in macro- and microparticle size,porosity,and concentration distribution.Predictions are employed to evaluate the impact of the initial support microparticle arrangement and fragmentation processes on the overall catalyst performance.Ploymer yield,concentration profiles,and temperature transients predicted by the model are presented,showing the model application after verifying its accordance with the available experimental data.
机译：建立了包括聚合过程主要形态特征在内的数学模型，以研究负载金属茂催化剂对烯烃的聚合反应。由于通常需要大量的甲基铝氧烷（MAO）作为助催化剂，因此该模型引入了一种方案。该模拟结果模拟了负载型催化剂在降低MAO需求至商业可接受水平方面所做努力的结果。在以下基础上，专门考虑了使所有活性位点有效提供给单体的初始负载型催化剂颗粒的关键裂解步骤。利用现有的反应数据，讨论了碎片表示的替代方案并提出了方案。然后，基于上述表示方案开发了数学模型，以计算单体浓度，温度和大颗粒尺寸的演变。主要特征方案的展示在实验室和高生产率条件下，该模型均用于预测宏观和微粒尺寸，孔隙率和浓度分布的变化。预测用于评估初始支持物微粒排列和破碎过程对颗粒的影响。给出了该模型预测的聚合物收率，浓度曲线和温度瞬变，并在根据可用的实验数据验证了其应用后，表明了该模型的应用。

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