Estimation of steel slag parameters using thermal imaging and neural networks classification

Więcek, M.; Strąkowski, R.; Więcek, B.; Olbrycht, R.; Świątczak, T.; Wittchen, W.; Borecki, M.

doi:10.21611/qirt.2010.146

Cited by 3 publications

(7 citation statements)

References 3 publications

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“…In particular, the width, shape and position of the histograms are different. It denotes that we could use the well-known first order statistical parameters to distinguish steel and slag precisely [2]. The final goal of the research is to distinguish not only the steel and slag, but the slag with different content of FeO.…”

Section: Preliminary Resultsmentioning

confidence: 99%

“…The final goal of the research is to distinguish not only the steel and slag, but the slag with different content of FeO. This challenging task is performed by multivariate statistical analysis using large set of image features obtained in different subbands of the optical and IR spectrum [2].…”

Section: Preliminary Resultsmentioning

confidence: 99%

“…As it has been already presented [1][2][3], the pouring out the steel from the vat ends with the slag. Because the emissivity of the slag is significantly greater then the emissivity of the steel [3], the apparent (radiation) temperature rapidly increases during the final stage of pouring out the metal.…”

Section: Measuring Methodologymentioning

confidence: 99%

“…The chemical content of the steel slag is very important technological parameter during steel production [1][2][3][4][5][6][7][8][9][10][11][12]. The concentration of FeO together with the basicity of the stag is the basic figure which allows estimating the steel and slag quality.…”

Section: Introductionmentioning

confidence: 99%

“…Now, there is a hope the extend the thermography applications in steel production to on-line estimation of FeO content in the steel slag by analysing the visual and infrared images during the pouring out the vat [1][2][3]. The results of first investigations confirm the possibility of using the multispectral system operating in visual and infrared spectrum starting from 0,5 μm up to 14 μm [3].…”

Section: Introductionmentioning

confidence: 99%

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Multispectral system for measuring the radiation parameters of steel slag during the discharge of steelworks furnace

Więcek¹,

Pacholski²,

Świątczak³

et al. 2012

Proceedings of the 2012 International Conference on Quantitative InfraRed Thermography

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This paper presents recently developed a multispectral system for measuring and calculation the chosen radiation parameters of the steel slag for the investigation of FeO content. The system contains 2 infrared (IR) and 2 visual (CCD) cameras. IR cameras capture images in MWIR and LWIR spectral ranges. The visual broad band optical system acquires the images in NIR and visual (RGB) subbands. The short band pass optical filters are used in visual spectral range. CCD RGB camera is used to select the proper wavelength bands in the visual range. The main objective of the research is to define different thermal and optical parameters of the steel slag stream for further image classification and FeO content estimation.

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Section: Preliminary Resultsmentioning

confidence: 99%

Section: Preliminary Resultsmentioning

confidence: 99%

Section: Measuring Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Multispectral system for measuring the radiation parameters of steel slag during the discharge of steelworks furnace

Więcek¹,

Pacholski²,

Świątczak³

et al. 2012

Proceedings of the 2012 International Conference on Quantitative InfraRed Thermography

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A Probabilistic Model and Capturing Device for Remote Simultaneous Estimation of Spectral Emissivity and Temperature of Hot Emissive Materials

et al. 2021

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Thermal measurement and degradation quantification of teeming ladle refractories and the effects on the process

Cotton¹

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The key objective of the thesis was to quantify the heat loss caused to the liquid steel due to the cooling effect of the teeming ladle refractories. It was previously hypothesised that the in-situ degradation of insulation layer would increase this cooling effect. To determine the cooling effect of the degraded insulation material it was first thermally characterised with in-situ thermocouple measurements. Post-mortem samples were recovered from the teeming ladles used for the thermocouple measurements during their regular production cycles in a BOS plant. The post-mortem samples were then tested for their thermophysical properties. From this it was possible to determine the density increased from 260kg/m3 to 759.6 kg/m3, the thermal conductivity increased from 0.039W/m.K to 0.15W/m.K and the specific heat capacity decreased by 40% compared to its original state. These findings were then used to calculate the increased heat loss rate of the refractory material in the teeming ladle, which then in turn causes increased heat loss to the steel transported by the ladle. A thermal model was used to determine the heat flux stored in a fully saturated ladle and then different time periods of cooling with and without a lid. The effect of teeming ladle lids reduced the heat losses by up to 11°C per cycle compared to a ladle without a lid. Whereas the heat loss due to the insulative layer degradation was calculated to be <1°C for the initial heats before the ladle reached production temperatures and, therefore, had minimal effect. However, the degradation did show an increase in teeming ladle shell temperatures, which needs to be taken into account for service temperature monitoring. The thermal profiles of the modelled scenarios showed that if an accurate hot face measurement could be achieved it would be possible to accurately predict the cooling effect of each teeming ladle in production. This study was able to accurately measure the refractories and slag taken from a teeming and utilise the geometry of the ladle to reduce the error from thermal imaging. Previously predictions were used that could cause errors up to ±175°C when taking thermal images of the teeming ladle hot face. Through the method adopted in this study it was possible to take accurate measurements of the hot face within ±5°C. This can now be utilised by a thermal model to make accurate real time predictions of the heat loss caused by teeming ladle refractories. Thereby reducing the reheating required and improving the quality of steel produced.

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Estimation of steel slag parameters using thermal imaging and neural networks classification

Cited by 3 publications

References 3 publications

Multispectral system for measuring the radiation parameters of steel slag during the discharge of steelworks furnace

Multispectral system for measuring the radiation parameters of steel slag during the discharge of steelworks furnace

A Probabilistic Model and Capturing Device for Remote Simultaneous Estimation of Spectral Emissivity and Temperature of Hot Emissive Materials

Thermal measurement and degradation quantification of teeming ladle refractories and the effects on the process

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