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Название A digital control system designed for ore thermal furnaces producing metallurgical silicon
DOI 10.17580/tsm.2021.01.08
Автор Martynov S. A., Bazhin V. Yu., Petrov P. A.
Информация об авторе

Saint Petersburg Mining University, Saint Petersburg, Russia:

S. A. Martynov, Assistant, Candidate of Technical Sciences, e-mail: direktor062@mail.ru
V. Yu. Bazhin, Associate Professor, Doctor of Technical Sciences, e-mail: Bazhin-alfoil@mail.ru
P. A. Petrov, Dean of the Faculty of Mineral Raw Material Processing, Candidate of Technical Sciences, e-mail: pashapp@yandex.ru

Реферат

This paper considers the key control issues related to non-adjustable parameters in the production of metallurgical silicon in ore thermal furnaces. A series of experiments has been conducted to confirm the possibility of introducing the electrode off-position control. Thus, additional control parameters were introduced in the process control system. The electrode positioning algorithm was tested and adjusted to minimize electrode bending and reduce the risk of breakage and to minimize end cracking and spalling during restarting in the current production environment. An integrated 3D model of the thermal field distribution has been developed and built that accounts for the charcoal moisture content, the position of the electrodes and the power emitted as the charge gets hot. Substantiation is given to the application of this adaptive adjustment algorithm to control the changing parameters as determined by the process conditions, such as the moisture content of the charge, the position of the electrode, the power mode of the furnace. The authors propose to expand the existing control system by adding a digital module, i.e. due to the integration of electrode off-position signals and the use of the adaptive adjustment algorithm and avoiding using any additional corrective signals.

This research was carried out as part of the Governmental Assignment No. 075-03-2020-127/1 for the year of 2020, Project No. FSRW-2020-0014. Subject: A crossdisciplinary approach to the comprehensive exploitation of natural resources and conservation. Area (a 2020 topic): “Comprehensive processing of minerals and man-made materials and gasification of solid hydrocarbons: A review and concept elaboration”. As greenhouse gases and carbon are produced as a result of electrode destruction, it is proposed to use the method of gasification and dispose of the heat produced.

Ключевые слова Ore thermal furnace, metallurgical silicon, SCADA system, adaptive adjustment, mathematical model, thermal field, digital model
Библиографический список

1. Vorobiev V. P., Sivtsov A. V. Analyzing the energy distribution parameters taking into account the zonal design of arc reduction furnaces. Problems Related to the Electrothermal Processing of Ore: Proceedings of the Electrothermics-96 Meeting. 1996. pp. 177–178.
2. Shtenberg M. V., Bykov V. N. Water in the granular quartz of the Urals: An FT-IR spectroscopy study conducted at low temperatures. Zapiski Rossiyskogo Mineralogicheskogo Obshchestva. 2011. P. 140, Iss. 2. pp. 93–102.
3. Glazev M. S., Bazhin V. Y. Environmental technologies in the production of metallurgical silicon. Scientific and Practical Studies of Raw Material Issues. 2019. pp. 114–120.
4. Maslov D. V. Developing control algorithms and systems for electric arc furnaces to help reduce electrode failures: PhD dissertation. Moscow, 2014. 134 p.
5. Potapov A. I., Kulchitskii A. A., Smorodinskii Y. G. Analyzing the accuracy of a device for controlling the position of a rotating plane. Russian Journal of Nondestructive Testing. 2018. Vol. 54, Iss. 11. pp. 757–764.
6. Nemchinova N. V., Klyots V. E. The improving of the silicon carbothermical production in a ore-smelting furnaces. Tsvetnye Metally. 2010. No. 3. pp. 98–102.
7. Nikolaev A. A., Kornilov G. P., Tulupov P. G., Povelitsa E. V. Study of different methods to design automated electrode position control systems for electric arc furances and ladle furnaces. Vestnik of Nosov Magnitogorsk State Technical University. 2015. No. 2. pp. 90–100.
8. Sharikov Yu. V., Tkachev I. V., Snegirev N. V. Simulating optimum control over a non-linear object. Teoreticheskie osnovy khimicheskoy tekhnologii. 2020. Vol. 54, No. 5. pp 572–583. DOI: 10.31857/S0040357120050176.
9. Sharikov Yu. V., Liu Ts. F. Nickel oxide reduction in a tube rotary kiln: Process simulation. Metallurg. 2018. No. 7. pp. 27–32.
10. Vorobiev V. P., Pankov V. A., Sivtsov A. V. Ferroalloy smelting process control system. Computer techniques to control ore thermal furnace modes: Research papers. 1998. pp. 269–271.
11. Armenskiy S. V. Developing a mathematical model of the under-theelectrode space of ore thermal furnaces: PhD dissertation. Saint Petersburg, 2004. 131 p.
12. Jimenez Carrizosa M., Stankovich N., Vanier J.-C., Shklyarskiy Ya. E. et al. A control system for DC trunk lines with modular multi-level converters. Zapiski Gornogo instituta. 2020. Vol. 243. p. 357. DOI: 10.31897/pmi.2020.3.357.
13. Perelman I. I. Real-time identification of control objects. Moscow : Energoizdat, 1982. 272 p.
14. Fiterman M. Ya. The role of information and identification when building automatic control systems. Promyshlennye ASU i kontrollery. 2008. No. 12. pp. 42–49.
15. Chernyshov S. E., Galkin V. I., Ulianova Z. V., Makdonald D. I. Developing mathematical models to control the grout parameters. Zapiski Gornogo instituta. 2020. Vol. 242. p. 179. DOI: 10.31897/pmi.2020.2.179.
16. Vasiliev V. V. Control over the smelting of sulphide copper-nickel material in an ore thermal furnace on the basis of harmonic analysis of electrode current and voltage: PhD dissertation. Saint Petersburg, 2010. 143 p.
17. Vorobiev V. P. Electrothermal furnaces and reduction processes. Yekaterinburg : URO RAN, 2009. 268 p.
18. Gulbin Yu. L. Modelling the nucleation kinetics and the growth of garnet in medium-temperature metapelites. I. Basic theory. Zapiski Rossiyskogo Mineralogicheskogo Obshchestva. 2013. P. 142, Iss. 6. pp. 1–17.
19. Baake E., Shpenst V. A. Recent research on electrothermal metallurgical processes. Zapiski Gornogo instituta. 2019. Vol. 240. p. 660. DOI: 10.31897/pmi.2019.6.660.
20. Fiterman M. Ya. Setting up automatic control circuits. Promyshlennye ASU i kontrollery. 2007. No. 8. pp. 17–25.
21. Martynova E. S., Bazhin V. Y. Automatic control system development and implementation for melting in electric arc furnaces. Journal of Physics: Conference Series. 2019. Vol. 1399. pp. 1–7. DOI: 10.1088/1742-6596/1399/4/044039.
22. Beloglazov I. I., Martynov S. A., Fiterman M. Ya., Martynova E. S. Adaptive control system. Patent RF, No. 2612340. Applied: 10.11.2015. Published: 07.03.2017.
23. Vasilyeva N. V., Ivanov P. V. Implementation of fuzzy logic in the smelting process of control algorithms of copper-nickel sulfide materials. Journal of Physics: Conference Series. 2019. Vol. 1384. DOI: 10.1088/1742-6596/1384/1/012065.
24. Vasilyeva N. V., Fedorova E. R., Koteleva N. I. Real-time control data wrangling for development of mathematical control models of technological processes. Journal of Physics: Conference Series. 2018. Vol. 1015. DOI: 10.1088/1742-6596/1015/3/032067.
25. Gorlenkov D. V., Gorlenkova I. V., Beloglazov I. I., Timofeev V. Yu. Selection of complete recovery of precious metals in the processing of coppernickel alloys in hydrometallurgical way. Materials Science Forum. 2018. Vol. 927. pp. 190–194.
26. Martynova E., Bazhin V., Suslov A. Arc steel-making furnaces functionality enhancement. Scientific and Practical Studies of Raw Material Issues. Proceedings of the Russian-German Raw Materials Dialogue: A Collection of Young Scientists Papers and Discussion. 2019. Vol. 1. pp. 251–262.
27. Martynov S. A., Bazhin V. Yu. Improving the сontrol efficiency of metallurgical silicon production technology. Journal of Physics: Conference Series. 2019. Vol. 1399. pp. 1–5.
28. Radu Balan. Modeling and control of an electric arc furnace. Proceedings of the 15th Mediterranean Conference on Control&Automation. July 27–29, 2007. Athens, Greece: Institute of Electrical and Electronics Engineers (IEEE). 2007. pp. 91–97.
29. Romanova N. A., Leontiev V. S. Structure and energy optimization of the phenol and acetone separation process using reaction mixture components as entrainers. Petroleum Chemistry. 2017. Vol. 57. pp. 430–435. DOI: 10.1134/S0965544117020220.
30. Toulouevski Y., Zinurov I. Innovation in electric arc furnaces, the second edition. Berlin : Springer Link, 2013. pp. 120–155.

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