化工进展 ›› 2019, Vol. 38 ›› Issue (06): 2796-2805.DOI: 10.16085/j.issn.1000-6613.2018-1704

• 工业催化 • 上一篇    下一篇

α-二亚胺镍催化剂催化乙烯聚合反应过程模型化

冯依1(),田洲2(),刘柏平1   

  1. 1. 华东理工大学化学工程联合国家重点实验室,上海 200237
    2. 华东理工大学化工过程先进控制和优化技术;教育部重点实验室,上海 200237
  • 收稿日期:2018-08-22 出版日期:2019-06-05 发布日期:2019-06-05
  • 通讯作者: 田洲
  • 作者简介:冯依(1994—),女,硕士研究生,研究方向为烯烃聚合反应工程。E-mail: <email>1309944322@qq.com</email>。
  • 基金资助:
    中央高校基本科研业务费项目(222201714054)

Modeling of ethylene polymerization catalyzed by α-diimine nickel catalyst

Yi FENG1(),Zhou TIAN2(),Boping LIU1   

  1. 1. State Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China
    2. Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China
  • Received:2018-08-22 Online:2019-06-05 Published:2019-06-05
  • Contact: Zhou TIAN

摘要:

后过渡金属催化剂用于合成超支化聚乙烯具有合成步骤少、性能优异等特点,支化度、支链种类及分布对超支化聚乙烯的性能有显著影响,但目前对该反应过程的动力学模型及支链分布模型研究尚少。本文建立了在α-二亚胺镍催化剂作用下,以乙烯为唯一单体制备超支化聚乙烯的过程模型,通过动力学模型预测聚合反应速率,并与种群平衡模型结合,形成一个新的支链分布预测模型。与文献报道的模型相比,本文提出的模型结合了聚合反应动力学与支链分布模型,预测结果与实验结果更吻合,为调控后过渡金属催化剂催化乙烯聚合过程及产物结构提供了新手段。

关键词: α-二亚胺镍催化剂, 聚合, 动力学, 种群平衡模型, 支链分布

Abstract:

The hyperbranched polyethylene (HBPE) synthesized by using late transition metal catalysts has excellent properties and needs less steps. Branching degree, types, and distributions all have significant effects on the physical properties of HBPE, however there are few investigations on the kinetic model and branching distribution predictions. In this work, a model was developed to describe the preparation of HBPE from an ethylene-only feed over the α-diimine nickel catalyst. The kinetic model was used to predict the polymerization rate, and then it was coupled with population balance model to establish a new chain branching distribution model. Compared with existing models, the model considers the contributions from both kinetics and chain branching distribution, and hence the predictions agree well with the experimental data. This model provides a tool for tuning the ethylene polymerization process and its products catalyzed by late transition metal catalysts.

Key words: α-diimine nickel catalyst, polymerization, kinetics, population balance model, chain branching distribution

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