Multi-Parameter Characteristics of Electric Arc Furnace Melting

被引：5
|
作者：
Moskal, Michal [1 ]
Migas, Piotr [2 ]
Karbowniczek, Miroslaw [2 ]
机构：
[1] COGNOR SA Branch HSJ Stalowa Wola, Kwiatkowskiego 1, PL-37450 Stalowa Wola, Poland
[2] AGH Univ Sci & Technol, Fac Met Engn & Ind Comp Sci, Dept Ferrous Met, 30 A Mickiewicza A, PL-30059 Krakow, Poland
来源：
MATERIALS | 2022年 / 15卷 / 04期
关键词：
electric arc furnace; energy efficiency modelling; process optimization; mass and energy balances; SIMULATION; ENERGY;
D O I：
10.3390/ma15041601
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
The article presents the results of analyses of numerical modelling of selected factors in electric arc furnace melts. The aim of the study was to optimise the melting process in an electric arc furnace using statistical-thermodynamic modelling based on, among other things, multiple linear regression (MLR). The article presents tools and methods which make it possible to identify the most significant indicators of the process carried out on the analysed unit from the point of view of improvement. The article presents the characteristics of the process and creation of the MLR model and, by applying its numerical analyses and results of calculations and simulations for selected variables and indicator, identifying the operation of a selected furnace. Developed model to demand of electric energy identification was used for calculations of energy balances, the distribution of the energy used in the furnace was presented.
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页数：14
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