Arc quality index based on three-phase Cassie–Mayr electric arc model of electric arc furnace

Blažič, Aljaž (author), Škrjanc, Igor (author), Logar, Vito (author)

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. Based on the Cassie–Mayr arc parameters, 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.

• Language: English
• Keywords: electric arc furnice, Cassie–Mayr, particle swarm optimization, arc model, equivalent circuit
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FE - Faculty of Electrical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2024
• Number of pages: 23 str.
• Numbering: Vol. 14, iss. 3, [article no.] 338
• PID: 20.500.12556/RUL-155874
• UDC: 621.365.2:681.5
• ISSN on article: 2075-4701
• DOI: 10.3390/met14030338
• COBISS.SI-ID: 189471491
• Publication date in RUL: 23.04.2024

Record is a part of a journal

• Title: Metals
• Shortened title: Metals
• Publisher: MDPI AG
• ISSN: 2075-4701
• COBISS.SI-ID: 15976214

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: elektroobločna peč, Cassie–Mayr, optimizacija z rojem delcev, model obloka, nadomestno vezje

Projects

• Funder: ARIS - Slovenian Research and Innovation Agency
• Project number: P2-0219-2019
• Name: Modeliranje, simulacija in vodenje procesov