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85th anniversary of Nosov Magnitogorsk State Technical University
ArticleName Extremely optimized control by natural gas supply to minimize coke costs and increase productivity of the blast furnace process
ArticleAuthor B. N. Parsunkin, A. S. Savinov, I. E. Illarionov, M. V. Afanaseva
ArticleAuthorData

Nosov Magnitogorsk State Technical University (Magnitogorsk, Russia):

B. N. Parsunkin, Dr. Eng., Prof., Dept. of Automatic Control Systems
A. S. Savinov, Dr. Eng., Associate Prof., Head of Dept. of Mechanics, Director of Metallurgy, Mechanical Engineering and Materials Processing Institute, e-mail: savinov_nis@mail.ru

M. V. Afanasyeva, Senior Lecturer, Dept of Informatics and Information Security

 

I. N. Ulyanov Chuvash State University (Cheboksary, Russia):
I. E. Illarionov, Dr. Eng., Prof, Head of the Chair “Materials Science and Metallurgical Processes”, e-mail: tmilp@rambler.ru

Abstract

The results of the development and the promising and urgently needed use of a more advanced system of extremely optimizing control of the supply of natural gas to the blast furnace are given in order to ensure minimum specific amounts of coke and maximum hourly productivity of the blast furnace process. A more sophisticated software and technical solution for the implementation of a step-by-step system for automatically optimizing control of the supply of a specific amount of natural gas, which virtually eliminates the periodic vibrational search mode and reduces the range of changes in the periodic search fluctuations of the specific quantity of natural gas in the final limit mode when the optimal operation mode of a blast furnace is considered. The proposed system is focused on software implementation using modern technical means of control and management and does not require significant capital expenditures with intelligent maximum efficiency.

keywords Blast furnace, automated control system, specifi c consumption, natural gas, productivity, cost minimization, optimization, step mode
References

1. Steel Statistical Yearbook. World Steel Association. Available at: https://www.worldsteel.org/steel-by-topic/statistics/steel-statisticalyearbook.html (accessed: 01.03.2019)
2. Schmöle P. The blast furnace — fit for the future? Chernye Metally. 2017. No. 2. pp. 18–24.
3. Yue Y., Dong A., Zhao H., Wang H. Study on prediction model of blast furnace hot metal temperature. 2016 IEEE International conference on Mechatronics and Automation (ICMA). 2016. pp. 1396–1400.
4. Kazakevich V. V., Rodov А. B. Automatic optimization systems. Moscow: Energiya. 1977. 288 p.
5. Parsunkin B. N., Andreev S. М., Ishmetyev Е. I. Systems for automatic process control optimization with memory of the extremum: tutorial. Magnitogorsk: Izdatelstvo Magnitogorskogo gosudarstvennogo tekhnicheskogo universiteta imeni G. I. Nosova. 2015. 136 p.
6. Parsunkin B. N., Andreev S. M., Cukhonosova T. G. Automation and optimization of the control process for smelting pig iron in blast furnaces: tutorial. Magnitogorsk: Izdatelstvo Magnitogorskogo gosudarstvennogo tekhnicheskogo universiteta imeni G. I. Nosova. 2018. 215 p.
7. Hua C. C., Wang Y. J., Li J. P. et al. Multi-objective optimization model for blast furnace production and ingredients based on NSGA-II algorithm. CIESC Journal. 2016. Vol. 67. No. 3. pp. 1040–1047.
8. Li Wencheng, Qiao Hongli, Xu Feng. Research on quick optimization of hot blast stove combustion control based on empirical model. Metallurgical Industry Automation. 2017. Vol. 41. No. 4. pp. 68–72.
9. Sibagatullin S. K., Kharchenko A. S., Chernov V. P., Beginyuk V. A. Improvement of blast furnace practice due to creation of the conditions for elevation of natural gas consumption via usage of raw materials with increased strength. Chernye Metally. 2017. No. 8. pp. 27–33.
10. Zhu Lihong, Huang Han, Wei Jie. Intelligent optimal control method study of burning process in hot blast stove. Computer Measurement & Control. 2016. Vol. 24. No. 5. pp. 74–76.
11. Yakovlev Yu. V., Marsuversky B. А., Babarykin N. N., Senichkin B. К. et. al. The study of blast-furnace smelting using pellets and combined blasting. Iron production. Interuniversity Collection. Sverdlovsk, Izdatelstvo UPI imeni S. M. Kirova, 1982.
12. Barankova М. V., Parsunkin B. N. Control optimization of natural gas supply to a blast furnace in order to minimize coke consumption. Avtomatizirovannye tekhnologii i proizvodstva. 2014. No. 6. pp. 159–164.

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