Control and management of the out-of-furnace treatment of metal using ladle vibrations

Kostetskii, Yu. V.; Kvasov, I. V.; Degtyarenko, Illya; Kukui, D. P.

doi:10.1134/s0036029509070088

Cited by 7 publications

(11 citation statements)

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“…As reported in the studies [10,12,13,19,20], the vibrations amplitude increases with the gas flow rate. The relationship between the vibration level and the gas flow rate is nonlinear, rather logarithmic.…”

Section: Vibration Rms Versus Gas Flow Ratesupporting

confidence: 65%

Vibrations of a laboratory-scale gas-stirred ladle with two eccentric nozzles and multiple sensors

Alia

Pylvänäinen

Visuri

et al. 2019

J. Iron Steel Res. Int.

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During ladle stirring, a gas is injected into the steel bath to generate a mixing of the liquid steel. The optimal process control requires a reliable measurement of the stirring intensity, for which the induced ladle wall vibrations have proved to be a potential indicator. An experimental cold water ladle with two eccentric nozzles and eight mono-axial accelerometers was thus investigated to measure the vibrations. The effect of the sensors' positions with respect to the gas plugs on the vibration intensity was analyzed, and experimental data on several points of the ladle were collected for future numerical simulations. It is shown that the vibration root-mean-square values depend not only on process parameters, such as gas flow rate, water, and oil heights, but also on the radial and axial positions of the sensors. The vibration intensity is clearly higher, close to the gas plumes, than in the opposite side. If one of the nozzles is clogged, the vibration intensity close to the clogged nozzle drops drastically (À 36 to À 59%), while the vibrations close to the normal operating nozzle are hardly affected. Based on these results, guidelines are provided for an optimized vibration-based stirring.

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Section: Vibration Rms Versus Gas Flow Ratesupporting

confidence: 65%

Vibrations of a laboratory-scale gas-stirred ladle with two eccentric nozzles and multiple sensors

Alia

Pylvänäinen

Visuri

et al. 2019

J. Iron Steel Res. Int.

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show abstract

“…It was reported that the monitoring system improved steel cleanliness and reduced argon consumption. [14] Others like Burty et al [9][10][11] ,Yuri et al [12] and Kostetskii et al [18] have measured vibration, sound and/or ladle eye size both on industrial and laboratory scales to characterize the stirring process. Xu et al used a different approach by combining the vibration, bubbling sound and ladle eye size to find the latent variable to predict the stirring power.…”

Section: Introductionmentioning

confidence: 99%

Study of Low Flow Rate Ladle Bottom Gas Stirring Using Triaxial Vibration Signals

Yenus

Brooks

Dunn

et al. 2017

Metall Mater Trans B

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“…Furthermore, the ladle eye area has also been studied using laboratory-and full-scale models in combination with other signals to describe the situation [49]. The vibration of the wall is the most frequently used signal to describe the stirring intensity [3,16,17,[52][53][54]. Hydrophones, accelerometers, video cameras, and signal processing instruments have been used to measure and process the signals [3,16,17,23,49,52,53].…”

Section: Ladle Metallurgymentioning

confidence: 99%

“…The vibration of the wall is the most frequently used signal to describe the stirring intensity [3,16,17,[52][53][54]. Hydrophones, accelerometers, video cameras, and signal processing instruments have been used to measure and process the signals [3,16,17,23,49,52,53].…”

Section: Ladle Metallurgymentioning

confidence: 99%

“…They used flasks of 1000, 2000, and 2400 ml, and 2000 ml of water mixed with 400 ml of alcohol [50]. They placed the sensor near the base of the flask [50,52] and found that the RMS value increases with an increase of flow rate and the energetic frequency range lies in the range of 0-200 Hz. They reported that the maximum correlation between flow rate and vibration amplitude is exhibited in the range of 0-40 Hz.…”

Section: Ladle Metallurgymentioning

confidence: 99%

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Application of vibration and sound signals in monitoring iron and steelmaking processes

Yenus

Brooks

Dunn

et al. 2018

Ironmaking & Steelmaking

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Automation of the iron and steelmaking operations is an inevitable task to improve quality and to minimise cost. Recent studies showed that vibroacoustic-based monitoring techniques can be used to continuously monitor steelmaking processes. Various signal processing techniques have been used, including filtering and FFT, to process these signals into useful inputs for process control. In ironmaking, the acoustic noise has been studied to assess working conditions. Vibration and acoustic signals have been measured in oxygen steelmaking to evaluate slopping. Lance vibration has been used to automate the blowing process at Kawasaki Steel Corporation. In ladle metallurgy, the focus has been on developing a vibroacoustic method to monitor liquid metal stirring. Recent water model studies have identified how sensor placement and the depth of the slag phase affects these signals. There has also been a work to monitor slag carry over in tundish metallurgy using vibration. These applications can be extended to other steel producing processes in the industry.

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Control and management of the out-of-furnace treatment of metal using ladle vibrations

Cited by 7 publications

References 0 publications

Vibrations of a laboratory-scale gas-stirred ladle with two eccentric nozzles and multiple sensors

Vibrations of a laboratory-scale gas-stirred ladle with two eccentric nozzles and multiple sensors

Study of Low Flow Rate Ladle Bottom Gas Stirring Using Triaxial Vibration Signals

Application of vibration and sound signals in monitoring iron and steelmaking processes

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