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New directions in electric arc furnace modeling.

Authors :
GRABOWSKI, DARIUSZ
KLIMAS, MACIEJ
Source :
Archives of Electrical Engineering. 2023, Vol. 72 Issue 1, p157-172. 16p.
Publication Year :
2023

Abstract

This paper presents new directions in the modeling of electric arc furnaces. This work is devoted to an overview of new approaches based on random differential equations, artificial neural networks, chaos theory, and fractional calculus. The foundation of proposed solutions consists of an instantaneous power balance equation related to the electric arc phenomenon. The emphasis is mostly placed on the conclusions that come from a novel interpretation of the equation coefficients. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14274221
Volume :
72
Issue :
1
Database :
Academic Search Index
Journal :
Archives of Electrical Engineering
Publication Type :
Academic Journal
Accession number :
169981704
Full Text :
https://doi.org/10.24425/aee.2023.143695