Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane
Journal of Photonic Materials and Technology
Volume 4, Issue 2, December 2018, Pages: 49-54
Received: Aug. 15, 2018; Accepted: Dec. 4, 2018; Published: Jan. 3, 2019
Views 836      Downloads 101
Zhang Shuwen, Tangshan Sanyou Silicone Industry Co., Ltd. Tangshan, China
Article Tools
Follow on us
Methylchlorosilane is an important chemical raw material. It has been matured since the direct synthesis technology has been applied for many years. However, due to the characteristics of gas-solid two-phase catalytic reaction, it still faces many problems in industrial production. The use of systems engineering methods to solve production problems has become an important task for organic chlorosilane monomer manufacturers. This paper introduces the application of mathematical modeling in the optimization of methylchlorosilane synthesis process parameters as an example to illustrate the important role of system engineering ideas in the production practice process, to achieve digitization of the fluidized bed reactor control process, parameter optimization. Through the research and analysis of the production control process, the mathematical model of superficial gas velocity and catalyst feed coefficient control was established to optimize the methylchlorosilane synthesis process. The results show that the apparent gas velocity should be controlled in stages during the direct synthesis of methylchlorosilane. The induction period is 0.10~0.12 m/s, and the stable period is 0.25~0.28 m/s. After the catalyst is added to the reactor, it will undergo three stages of induction period, stable period and aging period. After the catalyst reaction performance, the catalyst will gradually lose its catalytic ability due to various physical and chemical factors. Catalyst stability and life-span in industrial production are related to its own performance and mixing ratio, the ternary copper catalyst life-span is generally 50-60 hours, the suitable mixing ratio is 2.0-2.5%.
Mathematical Model, Methylchlorosilane, Superficial Gas Velocity, Catalyzer, Mixing Ratio
To cite this article
Zhang Shuwen, Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane, Journal of Photonic Materials and Technology. Vol. 4, No. 2, 2018, pp. 49-54. doi: 10.11648/j.jmpt.20180402.11
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Zhu Bingchen. Chemical Reaction Engineering [M]. Beijing: Chemical Industry Press, 2007, pp. 250-253.
Huang Zhongtao, Geng Jianming. Industrial Catalysis [M]. Beijing: Chemical Industry Press, 2006: 267-269. 271-313.
Zheng Mingdong, Liu Lianjie, Yu Liang, etc. Chemical Data Modeling and Experimental Optimization Design [M]. Hefei: China University of Science and Technology Press, 2001: 93-142.
Yang Hu Zhang Chenghong, ShiI Yan Fu Sichuan. Effect of Superficial Velocity of Methyl Chloride on Direct. Synthesizing Methylchlorosilane in Fluidized Beds [J]. Institute of Light Ind. & Chem. Tech., Zigong 643033, China, 2007 (13): 58-61.
Kunii D, Levenspiel O J. Fluidization Engineering [M]. New York John Wiley & Sons. Inc, 1969.
WANG Chao, WANG Guang-run, WANG Jin-fu. Process Characteristics of Cu-based Catalyst in Direct Synthesis of Methylchlorosilanes [J]. The Chinese Journal of Process Engineering, 2011, 11 (4): 639-643.
LIU Jie, WANG Ying-li, SONG Lian-ying, et al. Synthesis of Cu2O Microparticles by Precipitation Method and Its Application in (CH3)2SiCl2 Synthesis [J]. The Chinese Journal of Process Engineering, 2012, 12 (1): 136-141.
HAN LU, WANG Guang-run, Liang Wei-hua, LUO Wu-xi, WANG Jin-fu. Experimental Study of Direct Synthesis Process of Methyl Chlorosilane in Fluidized Bed Reactor [J]. Journal of Chemical Engineering of Chinese Universities, 2002, 16 (3): 287-292.
LUO WUXI, ZHANG GUOLIANG, WANG GUANGRUN, WANG JINFU. Effect of Copper Content on the Direct Process of Organosilane Synthesis from Silicon and Methyl Chloride [J]. Tsinghua Science & Technology, 2006, 11 (2): 252-258.
MIKKO HEIKKINEN, TERI HILTUNEN, MIKA LIUKKONEN, et al. A modelling and optimization system for fluidized bed power plants [D]. 2009.
LI Tai-fu Dynamic Evolution Modeling and Intelligent Optimization Decision of Complex Chemical Production Process [D]. 2013.
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
Tel: (001)347-983-5186