Splattering Suppression for a Three-Phase AC Electric Arc Furnace in Fused Magnesia Production Based on Acoustic Signal

This paper proposes a splattering suppression technique based on acoustic signal for the three-phase ac electric arc furnace (EAF), with an aim to reduce the energy consumption in fused magnesia production. Taking the 5000 kVA EAF as a research object, the spatial distribution of sound amplitude inside the furnace shell was calculated. In addition, the calculation results were proven to be reliable by comparison with the acoustic signal acquired from the EAF. Moreover, the EAF splattering characteristic frequency was extracted by computation of the Winger-Ville distribution. Through the comparison of image signals and acoustic signals, the relationships between the characteristic frequency amplitudes and the different periods in the EAF splattering process were revealed. Furthermore, a program based on this regularity was introduced into the original EAF control system to suppress splattering. Finally, the calculation and production results in fused magnesia smelting were given to validate the effectiveness of the proposed solution.