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

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00005210
URN to cite this document: urn:nbn:de:bvb:703-epub-5210-4

Title data

Kirschen, Marcus:
Visualization of Slag Data for Efficient Monitoring and Improvement of Steelmaking Slag Operation in Electric Arc Furnaces, with a Focus on MgO Saturation.
In: Metals. Vol. 11 (2021) Issue 1 . - pp. 17-27.
ISSN 2075-4701
DOI der Verlagsversion: https://doi.org/10.3390/met11010017

	Format: PDF Name: metals-11-00017.pdf Version: Published Version Available under License Creative Commons BY 4.0: Attribution
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Abstract

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.

Further data

Item Type:	Article in a journal
Keywords:	electric arc furnace; process slag; saturation model; process improvement
DDC Subjects:	500 Science 600 Technology, medicine, applied sciences > 620 Engineering 600 Technology, medicine, applied sciences > 670 Manufacturing
Institutions of the University:	Faculties > Faculty of Engineering Science > Chair Thermal Process Technology Faculties > Faculty of Engineering Science > Former Professors > Chair Thermal Process Technology - Univ.-Prof. Dr. Marcus Tobias Kirschen Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Former Professors
Language:	English
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-epub-5210-4
Date Deposited:	13 Jan 2021 11:54
Last Modified:	13 Jan 2021 11:54
URI:	https://epub.uni-bayreuth.de/id/eprint/5210

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