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

Povzetek

Electric arc furnaces (EAFs) are intended for the recycling of steel scrap. One of the more important variables in the recycling process is the tapping temperature of the steel. Due to the nature of the process, continuous measurement of the melt temperature is complicated and requires sophisticated measuring equipment; therefore, for most EAFs, separate temperature samples are taken several times before the melt is tapped, to verify whether the melt temperature is within the prescribed range. The measurements are obtained using disposable probes; when measurement is performed, the furnace must be switched off, leading to increased tap-to-tap time, unnecessary energy losses, and consequently, lower efficiency. The following paper presents a novel approach to EAF bath temperature estimation using a fuzzy model soft sensor obtained using Gustafson–Kessel input data clustering and particle swarm optimization of model parameters. The model uses the first temperature measurement as an initial condition, and measurements of the necessary EAF inputs to estimate continuously the bath temperature throughout the refining stage of the recycling process. The results have shown that the prediction accuracy of the proposed model is very high and that it fulfils the required tolerance band. The model is intended for parallel implementation in the EAF process, with the aim of achieving fewer temperature measurements, shorter tap-to-tap times, and decreased energy losses. Furthermore, if information about bath temperature is accessible in a continuous manner, operators can adjust the control of the EAF to achieve optimal tapping temperature and thus higher EAF efficiency.

Ključne besede

elektroobločna peč;mehko modeliranje;rojenje Gustafson-Kessel;optimizacija z roji delcev;ocena temperature;electric arc furnace;fuzzy modeling;Gustafson-Kessel clustering;particle swarn optimization;temperature estimation;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FE - Fakulteta za elektrotehniko
UDK: 681.5:621.365.2
COBISS: 79852547 Povezava se bo odprla v novem oknu
ISSN: 1568-4946
Št. ogledov: 37
Št. prenosov: 18
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: elektroobločna peč;mehko modeliranje;rojenje Gustafson-Kessel;optimizacija z roji delcev;ocena temperature;
Vrsta dela (COBISS): Članek v reviji
Strani: str. 1-11
Letnik: ǂVol. ǂ113, pt. B
Zvezek: 107949
Čas izdaje: Dec. 2021
DOI: 10.1016/j.asoc.2021.107949
ID: 16252673