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Automated Information System for Control and Diagnostics of the Blast Furnace Slag Mode

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Advances in Automation III (RusAutoCon 2021)

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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.

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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

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  • DOI: https://doi.org/10.1007/978-3-030-94202-1_25

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