首页> 外文会议>International Symposium on Advanced Control of Chemical Processes >DEVELOPMENT OF A DYNAMIC MULTI-COMPARTMENT MODEL FOR THE PREDICTION OF PARTICLE SIZE DISTRIBUTION AND MOLECULAR PROPERTIES IN A CATALYTIC OLEFIN POLYMERIZATION FBR
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DEVELOPMENT OF A DYNAMIC MULTI-COMPARTMENT MODEL FOR THE PREDICTION OF PARTICLE SIZE DISTRIBUTION AND MOLECULAR PROPERTIES IN A CATALYTIC OLEFIN POLYMERIZATION FBR

机译:催化烯烃聚合FBR中粒度分布预测和分子特性的动态多隔室模型的发展

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In the present study a comprehensive multi-compartment model is developed for the prediction of particle size distribution and particle segregation in a catalytic olefin polymerization FBR. To calculate the particle growth and the spatial monomer and temperature profiles in a particle, the random pore polymeric flow model (RPPFM) is utilized. The RPPFM is solved together with a dynamic discretized particle population balance model, to predict the particle size distribution (PSD) in each compartment. In addition, the polymer molecular properties are calculated, in each reactor compartment, by employing a generalized multi-site, Ziegler-Natta, kinetic scheme. The effects of various fluidized bed operating conditions on the morphological and molecular distributed polymer properties are thoroughly analyzed.
机译:在本研究中,开发了一种综合的多隔室模型,用于预测催化烯烃聚合FBR中的粒度分布和颗粒偏析。为了计算颗粒中的颗粒生长和空间单体和温度曲线,使用随机孔聚合物流量模型(RPPFM)。 RPPFM与动态离散化粒度平衡模型一起解决,以预测每个隔室中的粒度分布(PSD)。此外,通过采用广义的多位点,Ziegler-Natta,动力学方案计算聚合物分子特性。彻底分析了各种流化床操作条件对形态学和分子分布聚合物性质的影响。

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