Review on the Monte Carlo method in polymerization processes

被引：0
|
作者：
Liu R. [1 ]
Chen X. [1 ]
机构：
[1] State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou
来源：
Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities | 2021年 / 35卷 / 03期
关键词：
Acceleration; Microscopic qualities; Monte Carlo method; Polymerization;
D O I：
10.3969/j.issn.1003-9015.2021.03.001
中图分类号：
学科分类号：
摘要：
The Monte Carlo method is a statistical method that generates random numbers to obtain the final result according to the probabilities of various events through multiple simulations. With the Monte Carlo method, it is possible to simulate a polymerization process with complex kinetics and predict microscopic properties of a polymer. However, the simulation of polymerization process and prediction of polymer microscopic information by the Monte Carlo method are usually time-consuming. Acceleration of the Monte Carlo simulations for polymerization processes is of great importance. This work is to review the Monte Carlo method and its applications in polymerization processes. The acceleration algorithms of Monte Carlo methods for predicting polymer microscopic qualities are discussed. © 2021, Editorial Board of "Journal of Chemical Engineering of Chinese Universities". All right reserved.
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页码：389 / 399
页数：10
相关论文
共 73 条
  • [1] QIAO J L., Further development of polymer industry in china, Petrochemical Technology, 44, 9, pp. 1033-1037, (2015)
  • [2] CUI Y J, SONG S J, QU X Z, Et al., Rethinking and outlook on the development of polymeric materials industry under the view of "made in China 2025, Journal of Engineering Studies, 9, 6, pp. 568-576, (2017)
  • [3] WANG Y X., The development status and prospects of polymer materials industry in China--taking plastics and rubber as an example, Economic Outlook the Bohai Sea, 286, 7, pp. 68-68, (2018)
  • [4] ZHANG C., Modeling, optimization, and flowsheet reconfiguration of polymerization process with embedded molecular weight distribution, (2016)
  • [5] WENG J Z., Microstructure-based simulation and optimization methods for polymerization processes, (2016)
  • [6] MA Y N., Model reconstruction and optimization acceleration with microstructural quality indices, (2019)
  • [7] RIAHINEZHAD M, MCMANUS N, PENLIDIS A., Effect of monomer concentration and pH on reaction kinetics and copolymer microstructure of acrylamide/acrylic acid copolymer, Macromolecular Reaction Engineering, 9, 2, pp. 100-113, (2015)
  • [8] LUTZ J F, JAHED N, MATYJASZEWSKI K., Preparation and characterization of graft terpolymers with controlled molecular structure, Journal of Polymer Science Part A-Polymer Chemistry, 42, 8, pp. 1939-1952, (2004)
  • [9] SHAN C, SOARES J, PENLIDIS A., Ethylene/1-octene copolymerization studies with in situ supported metallocene catalysts: Effect of polymerization parameters on the catalyst activity and polymer microstructure, Journal of Polymer Science Part A-Polymer Chemistry, 40, 24, pp. 4426-4451, (2002)
  • [10] TONG W D, LU J M, SUN M, Et al., Monte Carlo simulation method of radical polymerization, Chemical Journal of Chinese University, 12, 7, pp. 979-982, (1991)
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