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Article

Visualization of Slag Data for Efficient Monitoring and Improvement of Steelmaking Slag Operation in Electric Arc Furnaces, with a Focus on MgO Saturation

Thermal Process Engineering, University of Bayreuth, Universitätsstrasse 30, D-94557 Bayreuth, Germany
Metals 2021, 11(1), 17; https://doi.org/10.3390/met11010017
Received: 2 December 2020 / Revised: 20 December 2020 / Accepted: 22 December 2020 / Published: 24 December 2020
Frequent slag sampling and analysis is still the most common method used to investigate and improve slag operation in electric arc furnaces (EAFs) for low-alloyed carbon steelmaking. An MgO saturation diagram for EAF slags was derived from phase equilibrium calculations in the system CaO–MgO–FeO–SiO2–5%Al2O3 to provide monitoring and interpretation of the slag data with respect to control of MgO saturation, FeO reduction, dissolution from the MgO-based refractory lining, and unusual losses of repair mixes. Examples from 14 industrial EAFs are given. View Full-Text
Keywords: electric arc furnace; process slag; saturation model; process improvement electric arc furnace; process slag; saturation model; process improvement
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MDPI and ACS Style

Kirschen, M. Visualization of Slag Data for Efficient Monitoring and Improvement of Steelmaking Slag Operation in Electric Arc Furnaces, with a Focus on MgO Saturation. Metals 2021, 11, 17. https://doi.org/10.3390/met11010017

AMA Style

Kirschen M. Visualization of Slag Data for Efficient Monitoring and Improvement of Steelmaking Slag Operation in Electric Arc Furnaces, with a Focus on MgO Saturation. Metals. 2021; 11(1):17. https://doi.org/10.3390/met11010017

Chicago/Turabian Style

Kirschen, Marcus. 2021. "Visualization of Slag Data for Efficient Monitoring and Improvement of Steelmaking Slag Operation in Electric Arc Furnaces, with a Focus on MgO Saturation" Metals 11, no. 1: 17. https://doi.org/10.3390/met11010017

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