Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane

Zhang Shuwen

doi:doi:10.11648/j.jmpt.20180402.11

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Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane

Zhang Shuwen

Published in Journal of Photonic Materials and Technology (Volume 4, Issue 2)

Received: 15 August 2018 Accepted: 4 December 2018 Published: 3 January 2019

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Abstract

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%.

Published in	Journal of Photonic Materials and Technology (Volume 4, Issue 2)
DOI	10.11648/j.jmpt.20180402.11
Page(s)	49-54
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Mathematical Model, Methylchlorosilane, Superficial Gas Velocity, Catalyzer, Mixing Ratio

References

[1]	Zhu Bingchen. Chemical Reaction Engineering [M]. Beijing: Chemical Industry Press, 2007, pp. 250-253.
[2]	Huang Zhongtao, Geng Jianming. Industrial Catalysis [M]. Beijing: Chemical Industry Press, 2006: 267-269. 271-313.
[3]	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.
[4]	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.
[5]	Kunii D, Levenspiel O J. Fluidization Engineering [M]. New York John Wiley & Sons. Inc, 1969.
[6]	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.
[7]	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.
[8]	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.
[9]	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.
[10]	MIKKO HEIKKINEN, TERI HILTUNEN, MIKA LIUKKONEN, et al. A modelling and optimization system for fluidized bed power plants [D]. 2009.
[11]	LI Tai-fu Dynamic Evolution Modeling and Intelligent Optimization Decision of Complex Chemical Production Process [D]. 2013.

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APA Style

Zhang Shuwen. (2019). Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane. Journal of Photonic Materials and Technology, 4(2), 49-54. https://doi.org/10.11648/j.jmpt.20180402.11

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ACS Style

Zhang Shuwen. Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane. J. Photonic Mater. Technol. 2019, 4(2), 49-54. doi: 10.11648/j.jmpt.20180402.11

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AMA Style

Zhang Shuwen. Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane. J Photonic Mater Technol. 2019;4(2):49-54. doi: 10.11648/j.jmpt.20180402.11

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@article{10.11648/j.jmpt.20180402.11,
  author = {Zhang Shuwen},
  title = {Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane},
  journal = {Journal of Photonic Materials and Technology},
  volume = {4},
  number = {2},
  pages = {49-54},
  doi = {10.11648/j.jmpt.20180402.11},
  url = {https://doi.org/10.11648/j.jmpt.20180402.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jmpt.20180402.11},
  abstract = {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%.},
 year = {2019}
}

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TY  - JOUR
T1  - Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane
AU  - Zhang Shuwen
Y1  - 2019/01/03
PY  - 2019
N1  - https://doi.org/10.11648/j.jmpt.20180402.11
DO  - 10.11648/j.jmpt.20180402.11
T2  - Journal of Photonic Materials and Technology
JF  - Journal of Photonic Materials and Technology
JO  - Journal of Photonic Materials and Technology
SP  - 49
EP  - 54
PB  - Science Publishing Group
SN  - 2469-8431
UR  - https://doi.org/10.11648/j.jmpt.20180402.11
AB  - 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%.
VL  - 4
IS  - 2
ER  -

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Author Information

Zhang Shuwen

Tangshan Sanyou Silicone Industry Co., Ltd. Tangshan, China

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Plain Text BibTeX RIS

APA Style

Zhang Shuwen. (2019). Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane. Journal of Photonic Materials and Technology, 4(2), 49-54. https://doi.org/10.11648/j.jmpt.20180402.11

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ACS Style

Zhang Shuwen. Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane. J. Photonic Mater. Technol. 2019, 4(2), 49-54. doi: 10.11648/j.jmpt.20180402.11

Copy | Download

AMA Style

Zhang Shuwen. Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane. J Photonic Mater Technol. 2019;4(2):49-54. doi: 10.11648/j.jmpt.20180402.11

Copy | Download

@article{10.11648/j.jmpt.20180402.11,
  author = {Zhang Shuwen},
  title = {Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane},
  journal = {Journal of Photonic Materials and Technology},
  volume = {4},
  number = {2},
  pages = {49-54},
  doi = {10.11648/j.jmpt.20180402.11},
  url = {https://doi.org/10.11648/j.jmpt.20180402.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jmpt.20180402.11},
  abstract = {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%.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Application of Mathematical Modeling in Optimization of Synthesis Process Parameters of Methylchlorosilane
AU  - Zhang Shuwen
Y1  - 2019/01/03
PY  - 2019
N1  - https://doi.org/10.11648/j.jmpt.20180402.11
DO  - 10.11648/j.jmpt.20180402.11
T2  - Journal of Photonic Materials and Technology
JF  - Journal of Photonic Materials and Technology
JO  - Journal of Photonic Materials and Technology
SP  - 49
EP  - 54
PB  - Science Publishing Group
SN  - 2469-8431
UR  - https://doi.org/10.11648/j.jmpt.20180402.11
AB  - 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%.
VL  - 4
IS  - 2
ER  -

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