泥浆
烯烃聚合
聚合
材料科学
工艺工程
聚乙烯
建模与仿真
工作(物理)
停留时间(流体动力学)
多尺度建模
计算机科学
环境科学
聚合物
机械工程
化学
模拟
工程类
复合材料
计算化学
岩土工程
作者
Amit K. Thakur,Santosh K. Gupta,Pranava Chaudhari
出处
期刊:Reviews in Chemical Engineering
[De Gruyter]
日期:2020-12-24
卷期号:38 (5): 539-568
被引量:19
标识
DOI:10.1515/revce-2020-0048
摘要
Abstract Slurry polymerization processes using Zeigler–Natta catalysts, are most widely used for the production of polyethylene due to their several advantages over other processes. Significant advancements have been made in the modeling of these processes to obtain high-quality final products. The modeling work in this field has a very wide scope due to the great diversity of the catalyst types, polymerization processes, polymerization conditions, product qualities and microstructures that exist at the commercial scale. In this article, we have reviewed and discussed the slurry polymerization processes for the production of polyethylene and the multiscale modeling and simulation framework in slurry reactors. The multiscale modeling framework mainly comprises of the kinetic model, single-particle diffusion models, multiphase hydrodynamics, phase equilibria, reactor residence time distribution and the overall mass and heat balances. Guidelines to implement the multiscale mathematical modeling and simulation in slurry-phase olefin polymerization processes are proposed. Special focus is given on the need to reduce the computational effort for the simulation of industrial reactors so that the models can be used as an effective tool-kit for optimization studies using state-of-art algorithms.
科研通智能强力驱动
Strongly Powered by AbleSci AI