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  • 标题:Complex Modelling and Design of Catalytic Reactors Using Multiscale Approach—Part 2: Catalytic Reactions Modelling with Cellular Automata Approach
  • 本地全文:下载
  • 作者:Natalia Menshutina ; Igor Lebedev ; Evgeniy Lebedev
  • 期刊名称:Computation
  • 电子版ISSN:2079-3197
  • 出版年度:2020
  • 卷号:8
  • 期号:4
  • 页码:87-109
  • DOI:10.3390/computation8040087
  • 出版社:MDPI Publishing
  • 摘要:The presented work is devoted to reactions of obtaining 4,4’-Diaminodiphenylmethane (MDA) in the presence of a catalyst model. The work describes the importance of studying the MDA obtaining process and the possibility of the cellular automata (CA) approach in the modelling of chemical reactions. The work suggests a CA-model that makes it possible to predict the kinetic curves of the studied MDA-obtaining reaction. The developed model was used to carry out computational experiments under the following different conditions—aniline:formaldehyde:catalyst ratios, stirrer speed, and reaction temperature. The results of computational experiments were compared with the corresponding experimental data. The suggested model was shown to be suitable for predicting MDA-obtaining reaction kinetics. The proposed CA model can be used with the CFD model, suggested in Part 1, allowing the implementation of complex multiscale modeling of a flow catalytic reactor from the molecule level to the level of the entire apparatus.
  • 关键词:catalytic reactors; modelling; cellular automata; porous structure catalytic reactors ; modelling ; cellular automata ; porous structure
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