Article
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Arc Quality Index based on Three-Phase Cassie-Mayr Electric Arc Model of Electric Arc Furnace
Version 1
: Received: 29 January 2024 / Approved: 30 January 2024 / Online: 30 January 2024 (04:56:34 CET)
A peer-reviewed article of this Preprint also exists.
Blažič, A.; Škrjanc, I.; Logar, V. Arc Quality Index Based on Three-Phase Cassie–Mayr Electric Arc Model of Electric Arc Furnace. Metals 2024, 14, 338. Blažič, A.; Škrjanc, I.; Logar, V. Arc Quality Index Based on Three-Phase Cassie–Mayr Electric Arc Model of Electric Arc Furnace. Metals 2024, 14, 338.
Abstract
In steel recycling, the optimization of electric arc furnaces (EAFs) is of central importance in order to increase efficiency and reduce costs. This study focuses on the optimization of electric arcs, which make a significant contribution to the energy consumption of EAFs. A three-phase equivalent circuit integrated with the Cassie-Mayr arc model is used to capture the nonlinear and dynamic characteristics of arcs, including arc breakage and ignition process. A particle swarm optimization technique is applied to real EAF data containing current and voltage measurements to estimate the parameters of the Cassie-Mayr model. A novel Arc Quality Index (AQI) is introduced in the study, which can be used to evaluate arc quality based on deviations from optimal conditions. The AQI provides a qualitative assessment of arc quality, analogous to indices such as arc coverage and arc stability. The study concludes that the AQI serves as an effective operational tool for EAF operators to optimize production and increase the efficiency and sustainability of steel production. The results underline the importance of understanding electric arc dynamics for the development of EAF technology.
Keywords
electric arc furnace; Cassie-Mayr; particle swarm optimization; arc model; equivalent circuit
Subject
Engineering, Metallurgy and Metallurgical Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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