Production of electric steel using a semifinished product

Metallurgist ◽  
1965 ◽  
Vol 9 (3) ◽  
pp. 139-141
Author(s):  
V. S. Galyan ◽  
M. A. Yartsev ◽  
R. M. Khairutdinov ◽  
E. S. Golikov ◽  
S. T. Ushakov ◽  
...  
Keyword(s):  
Semifinished Product ◽  
Electric Steel

scholarly journals Optimization of the electric efficiency of the electric steel making process

2020 ◽  
Vol 53 (2) ◽  
pp. 11895-11900
Author(s):  
Jesús D. Hernández ◽  
Luca Onofri ◽  
Sebastian Engell
Keyword(s):  
Electric Steel ◽  
Steel Making

scholarly journals Time- and component-resolved energy system model of an electric steel mill

2021 ◽  
pp. 100223
Author(s):  
Johannes Dock ◽  
Daniel Janz ◽  
Thomas Kienberger ◽  
Jakob Weiss ◽  
Aaron Marschnig
Keyword(s):  
Energy System ◽  
System Model ◽  
Electric Steel ◽  
Steel Mill ◽  
Energy System Model

Oxygen in Acid Electric Steel Production

JOM ◽  
1951 ◽  
Vol 3 (8) ◽  
pp. 601-602
Author(s):  
J. H. Garrison
Keyword(s):  
Steel Production ◽  
Electric Steel

scholarly journals DEVELOPMENT OF CORRELATION AND REGRESSION MODELS OF ELECTRIC ENERGY INDICATORS OF THE EQUIPMENT WITH CONTINUOUS NATURE OF PRODUCTION

2019 ◽  
Vol 2019 (4) ◽  
pp. 203-208
Author(s):  
I Rakhmonov ◽  
◽  
N Niyozov ◽  
K Li
Keyword(s):  
Power Consumption ◽  
Mathematical Models ◽  
Continuous Production ◽  
Error Rates ◽  
Specific Consumption ◽  
Forecast Errors ◽  
Electric Steel ◽  
Steel Smelting ◽  
Main Equipment ◽  
Comparison Results

The article presents an analysis of the use of correlation-regression analysis, which is based on the methods of mathematical statistics and probability theory in the study of the power consumption of enterprises with equipment of continuous production. On the basis of the annual power consumption schedule of the electric steel-smelting shop in a monthly time section, mathematical models have been developed for the power consumption parameters. And also, on the basis of statistical data with the use of a mathematical method, mathematical expressions were obtained for the electric power consumption and the specific consumption for the main equipment of the electric steel-smelting shop. In order to assess the adequacy of the developed mathematical models, mathematical models of the total and specific consumption of their power consumption are compared with actual data. The comparison results show high reliability of the power consumption modes of the main equipment of the facility in question. The analysis of the values of forecast errors with low error rates determines the adequacy of the developed mathematical models of the parameters of power consumption in terms of power consumption and specific consumption for the main equipment of the electric steel-smelting shop. In this regard, they can be used to determine the predicted values of the parameters of power consumption in electric steelmaking equipment.

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