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A Monte Carlo-based feeding policy for tailoring microstructure of copolymer chains: Reconsidering the conventional metallocene catalyzed polymerization of alpha-olefins

机译:基于蒙特卡罗的进料策略,用于调整共聚物链的微观结构:重新考虑常规的茂金属催化的α-烯烃聚合

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A standard Monte Carlo-based program with innovative data storage structure was developed and put into practice to tailor ethylene/1-hexene copolymers through semibatch single site metallocene catalyzed copolymerization. The distribution of copolymer composition, ethylene sequence length, longest ethylene sequence length, as well as the number-average degree of polymerization, and sequential placement of 1-hexene comonomer segments along copolymer chains were monitored and evaluated applying a computerized feeding to metallocene catalyzed ethylene/1-hexene copolymerization. In particular, bivariate copolymer composition-chain length (CC-CL) distribution was compared for two feeding recipes with uncontrolled and well-controlled comonomer insertion. The advantages of controlled feeding in comparison to uncontrolled feeding were discussed in view of aforementioned architectural features. To obtain macromolecules with tailored comonomer distributions, special feeding strategies were developed by training and examining the developed model to capture crystallization analysis fractionation (CRYSTAF) of ethylenel/1-hexene chains, as a unique signature of tailored copolymers with rather narrow bivariate CC-CL distribution. The simulation results appropriately highlight the critical importance of computerized feeding with respect to uncontrolled feeding. (C) 2015 Elsevier B.V. All rights reserved.
机译:开发了具有创新数据存储结构的基于Monte Carlo的标准程序,并已通过半批处理单中心茂金属催化的共聚反应来定制乙烯/ 1-己烯共聚物。通过对茂金属催化的乙烯的计算机进料,监测和评估共聚物组成的分布,乙烯序列长度,最长的乙烯序列长度以及数均聚合度以及沿共聚物链的1-己烯共聚单体链段的顺序排列。 -1-己烯共聚。特别地,比较了两种进料配方中不受控制和良好控制的共聚单体插入的双变量共聚物组成-链长(CC-CL)分布。鉴于上述结构特征,讨论了受控进料与非受控进料相比的优点。为了获得具有定制共聚单体分布的大分子,通过培训和研究开发的模型来捕获乙烯/ 1-己烯链的结晶分析分级分离(CRYSTAF),开发了特殊的进料策略,这是定制的共聚物的特有标志,该共聚物具有相当窄的二元CC-CL分配。模拟结果适当地强调了计算机化饲喂相对于不受控制的饲喂的至关重要性。 (C)2015 Elsevier B.V.保留所有权利。

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