Abstract
The numerical simulation model of the slag mode control and diagnostics system contains the following calculation blocks: determination of yield, composition and polytherm viscosity of final slag; calculation of slag desulfurizing ability; slag mode diagnostics. The model is applicable to slags with permissible variations of Al2O3 content from 3 to 17%, MgO - from 5 to 20%, SiO2 content of 35% and more in slags, CaO content of 35% and more in slags. The developed automated information system calculates the following slag properties: slag temperature, slag viscosity at slag discharge temperature, slag basicity (CaO/SiO2), (CaO + MgO)/SiO2 and (CaO + MgO)/(SiO2 + Al2O3); temperatures at which slag viscosity is 7 and 25 poise; slag viscosity gradients in the range of 7–25 poise and in the range of 1400–1500 ℃. The system can be used by a process team both during blast furnace smelting to control and diagnose the slag mode for a selected time frame, and during simulation of slag properties with regard to the specified rates and properties of the loaded burden.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Spirin, N.A., Onorin, O.P., Rybolovlev, V.Y., Perminov, A.I., Shchipanov, K.A.: Simulation of slag processes in blast-furnace smelting. Steel in Transl. 35(8), 7–11 (2005)
Oporin, O.P., Spirin, N.A., Lavrov, V.V.: Computer methods of modelling the gas-dynamic and slag conditions of blast furnace heat. Stal 6, 55–58 (2005)
Polinov, A.A., Pavlov, A.V., Pishnograev, S.N., Logachev, G.N., Spirin, N.A.: Effect of slag regime on alkaline compound behavior in a blast furnace. Metallurgist 61(3–4), 193–197 (2007)
Spirin, N.A., Lavrov, V.V., Rybolovlev, V.Y., et al.: Model systems for the support of decision making in automatic systems of control over the technological process of blast-furnace smelting in metallurgy. In: UrFU, Ekaterinburg, p. 462 (2011)
Spirin, N.A., Lavrov, V.V., Rybolovlev, V.Y., et al.: Mathematical modeling of metallurgical processes in automated process control systems. In: Spirin, N.A. (Ed.) UrFU, Ekaterinburg, p. 558 (2014)
Gordon, Y., Izumskiy, N.: Mathematical model and stabilization system for slag mode of blast furnace operation. In: AISTech 2017 Iron and Steel Technology Conference, Nashville, United States, AISTech - Iron and Steel Technology Conference Proceedings, vol. 1, pp. 797–805 (2017)
Gan, L., Lai, C.: A General Viscosity Model for Molten Blast Furnace Slag. Metal. Mater. Trans. B. 45(3), 875–888 (2013). https://doi.org/10.1007/s11663-013-9983-9
Iida, T., Sakai, H., Kita, Y., Shigeno, K.: An equation for accurate prediction of the viscosities of blast furnace type slags from chemical composition. ISIJ Int. 40, 110–114 (2000). https://doi.org/10.2355/isijinternational.40.suppl_s110
Shu, Q.: A viscosity estimation model for molten slags in Al2O 3-CaO-MgO-SiO2 system. Steel Res. Int. 80(2), 107–113 (2009). https://doi.org/10.2374/SRI08SP085
Jiang, D., Zhang, J., Wang, Z., Feng, C., Jiao, K., Xu, R.: A Prediction model of blast furnace slag viscosity based on principal component analysis and k-nearest neighbor regression. JOM 72(11), 3908–3916 (2020). https://doi.org/10.1007/s11837-020-04360-9
Jia, R., Deng, L., Yun, F., Li, H., Zhang, X., Jia, X.: Effects of SiO2/CaO ratio on viscosity, structure, and mechanical properties of blast furnace slag glass ceramics. Mater. Chem. Phys. 233, 155–162 (2019). https://doi.org/10.1016/j.matchemphys.2019.05.065
Shen, X., Chen, M., Wang, N., Wang, D.: Viscosity property and melt structure of CaO-MgO-SiO2-Al2O3-FeO slag system. ISIJ Int. 59, 9–15 (2019). https://doi.org/10.2355/isijinternational.ISIJINT-2018-479
Li, T., Sun, C., Song, S., Wang, Q.: Influences of Al2O3 and TiO2 content on viscosity and structure of CaO–8%MgO–Al2O3–SiO2–TiO2–5%FeO blast furnace primary slag. Metals 9(7), 743 (2019). https://doi.org/10.3390/met9070743
Xu, R.Z., Zhang, J.L., Han, W.X., Chang, Z.Y., Jiao, K.X.: Effect of BaO and Na2O on the viscosity and structure of blast furnace slag. Ironmaking Steelmaking 47(2), 168–172 (2020). https://doi.org/10.1080/03019233.2018.1498761
Xing, X., Pang, Z., Mo, C., Wang, S., Ju, J.: Effect of MgO and BaO on viscosity and structure of blast furnace slag. J. Non-Cryst. Solids 530, 119801 (2020). https://doi.org/10.1016/j.jnoncrysol.2019.119801
Zheng, H., et al.: Viscosity prediction model for blast furnace slag with high Al2O3. Steel Res. Int. 92(1), 1900635 (2021). https://doi.org/10.1002/srin.201900635
Zhang, Y., Wang, D., Chen, S., Liu, Z., Pan, W., Zhao, Z.: Effects of Basicity, FeO, and TiO2 on Phase Transformation and Viscosity of TiO2-Bearing Primary Slag in Blast Furnace. In: Li, J., et al. (eds.) Characterization of Minerals, Metals, and Materials 2021. TMMMS, pp. 187–199. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-65493-1_18
Yang, D., Zhou, H., Wang, J., Pang, Z., et al.: Influence of TiO2 on viscosity, phase composition and structure of chromium-containing high-titanium blast furnace slag. J. Market. Res. 12, 1615–1622 (2021). https://doi.org/10.1016/j.jmrt.2021.03.069
Chang, Z.Y., Jiao, K.X., Zhang, J.L., Ning, X.J., Liu, Z.Q.: Effect of TiO2 and MnO on viscosity of blast furnace slag and thermodynamic analysis. ISIJ Int. 58(12), 2173–2179 (2018). https://doi.org/10.2355/isijinternational.ISIJINT-2018-379
Jiao, K., Zhang, J., Liu, Z., Chen, C.: Effect of MgO/Al2O3 ratio on viscosity of blast furnace primary slag. High Temp. Mater. Processes (London) 38, 354–361 (2019). https://doi.org/10.1515/htmp-2018-0019
Zhilo, N.L.: Formirovanie i svoistva domennykh shlakov (Formation and Properties of Blast Furnace Slag). Metallurgiya, Moscow (1974)
Voskoboinikov, V.G., Dunaev, N.E., Mikhalevich, A.G.: Svoistva zhidkikh domennykh shlakov (Properties of Liquid Blast Furnace Slags). Metallurgiya, Moscow (1975)
Vegman, E.F.: Domennoe proizvodstvo, Tom 1. Podgotovka rud i domennyi protsess (Blast Furnace Production, Vol. 1: Preparation of Ores and Blast Furnace Processes), Metallurgiya. Moscow (1989)
Slag Atlas. 2nd Edition, Ed. VDEh, Ed, Verlag Stahleisen GmbH: Düsseldorf, p 636 (1995)
Shalimov, A.G., Kuklev, V.G.: Izvestiya Akademii nauk SSSR, OTN. Metallurgija I Toplivo 5, 43–51 (1962)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Gurin, I., Spirin, N., Lavrov, V. (2022). Automated Information System for Control and Diagnostics of the Blast Furnace Slag Mode. In: Radionov, A.A., Gasiyarov, V.R. (eds) Advances in Automation III. RusAutoCon 2021. Lecture Notes in Electrical Engineering, vol 857. Springer, Cham. https://doi.org/10.1007/978-3-030-94202-1_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-94202-1_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-94201-4
Online ISBN: 978-3-030-94202-1
eBook Packages: EngineeringEngineering (R0)