Flicker control for electric arc furnace
US-11122654-B2 · Sep 14, 2021 · US
US9949322B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9949322-B2 |
| Application number | US-201214233886-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 12, 2012 |
| Priority date | Jul 19, 2011 |
| Publication date | Apr 17, 2018 |
| Grant date | Apr 17, 2018 |
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In a method for operating an electric arc furnace operated with an alternating voltage, a structure-borne sound signal occurring on a wall of the electric arc furnace is detected, from which structure-borne sound signal a parameter characterizing the flicker properties of the electric arc furnace is calculated. At least one process variable of the electric arc furnace is controlled on the basis of the calculated parameter. An electric arc furnace operated according to the method is used in and for a melting plant.
Opening claim text (preview).
The invention claimed is: 1. A method for operating an alternating voltage electric arc furnace, comprising: detecting, by a structure-borne sound sensor arranged on a wall of the electric arc furnace, a structure-borne sound signal arising at the wall; calculating a parameter which predicts a flicker value of the electric arc furnace, the parameter being calculated based on the structure-borne sound signal, wherein the flicker value corresponds to a variation in light intensity from a light source over time caused by fluctuations of voltage in the electric arc furnace; and controlling a process variable for the electric arc furnace by reference to the parameter to avoid flicker. 2. The method as claimed in claim 1 , wherein the parameter is a numeric measure related to a Kst value, the Kst value specifying characteristics, including at least one of weight and density, of scrap metal disposed in the electric arc furnace. 3. The method as claimed in claim 2 , wherein calculating the parameter comprises: subjecting the structure-borne sound signal to a Fourier transformation; determining amplitudes of the Fourier transform at a plurality of frequencies; and calculating the parameter from the amplitudes. 4. The method as claimed in claim 3 , wherein a measure for a low-frequency scrap movement is calculated from amplitudes of the Fourier transform at frequencies f which lie below a fundamental frequency f 0 , a measure for a high frequency vibration is calculated from amplitudes of the Fourier transform at frequencies f which lie above the fundamental frequency f 0 and do not include harmonic frequencies mf 0 , a measure which characterizes stability of the electric arc is calculated from amplitudes of the Fourier transform at frequencies f which lie at and between the harmonic frequencies mf 0 , and the parameter is calculated from the measures. 5. The method as claimed in claim 4 , wherein the parameter is determined using: SV = B * E where ( 1 ) B = ∑ n = n 0 n 1 F - α ( f n ) ( 2 ) where B is the measure for a low-frequency scrap movement, where E is the measure for a high frequency vibration, where F is the Fourier transform, where f n1 <f 0 and f n+1 −f n =Δf«f 0 and where E = ∑ n = n 2 n 3 F β ( f n ) ( 3 ) where f n ≠m*f 0 and f n2 >f 0 , 2≤β≤10 and m is a natural number, and SSG = ( ∑ k = 2 k max F ( k f 0 ) ) * ( ∑ n
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