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Multi-Parameter Characteristics of Electric Arc Furnace Melting

Michał Moskal, Piotr Migas

2022enelectric arc furnaceenergy efficiencymodellingprocess optimizationmass balance

Abstract

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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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Cite This Work

@article{8805ee61-fc2a-4431-8f45-4067c40e2858,
  title={Multi-Parameter Characteristics of Electric Arc Furnace Melting},
  author={Michał Moskal and Piotr Migas},
  year={2022},
  language={en}
}
TY  - JOUR
TI  - Multi-Parameter Characteristics of Electric Arc Furnace Melting
AU  - Michał Moskal
AU  - Piotr Migas
PY  - 2022
LA  - en
ER  -

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