Thermal modelling of a torpedo-car

Verdeja-González, L. F.; Barbés-Fernández, M. F.; González-Ojeda, R.; Castillo, Gustavo; Colás, Rafael

doi:10.3989/revmetalm.2005.v41.i6.236

Cited by 8 publications

(8 citation statements)

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“…There are also some studies on the optimum scheduling of torpedo cycling, in which thermal losses are identified as an important part of the cost structure, being a function of the elapsed time between pick up and drop of the hot metal [16] and also the empty time [17]. Concerning the effect of heat transfer on hot metal temperature at BOF shop, both theoretical [18] and experimental [19] research has been carried out, but a complete model, such as those for steel ladles [20], has not yet been published.…”

Section: Introductionmentioning

confidence: 99%

“…Provided that the lining thickness is known, the thermal state could be calculated for a completely cold or for a totally soaked torpedo car, but the same would be very hard for intermediate cases, especially bearing in mind that a significant amount of heat is lost in re-melting solid iron and slag remnants inside the vessel [19]. Moreover, it is also difficult to characterize the heat losses in open streams during hot metal pouring and only approximate estimations can be formulated, on account of their variable shape and velocity [18].…”

Section: Introductionmentioning

confidence: 99%

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Hot Metal Temperature Prediction at Basic-Lined Oxygen Furnace (BOF) Converter Using IR Thermometry and Forecasting Techniques

2019

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In oxygen steelmaking, the charge calculation strongly depends on hot metal temperature prediction. Although a hot metal temperature drop from the blast furnace in a steel plant may be too complex to be accurately modeled in detail, the combined use of sensors and statistical models can improve temperature estimation and result in better cost, quality and productivity, as well as lower emissions. In order to develop a simple but robust method for hot metal temperature forecasting, the suitability of infrared thermometry and time series forecasting has been studied. Simultaneous infrared thermometer measurement and video recording was used for designing the processing of the thermometer signal. The resulting temperature estimations are in good agreement with disposable thermocouple measurements giving an error of 11 °C with 60% reliability (chances of obtaining a successful output). Conversely, the time series approach was based mainly on the AutoRegressive Integrated Moving Average (ARIMA) model in which five additional process variables were introduced as exogenous predictors, as well as using a moving window of past observations for continuous model training. The resulting error was 15 °C with more than 90% reliability. Combining measuring and modeling approaches reduced the error to 13 °C with 100% reliability, thereby providing a hybrid procedure that has long-term stability and is self-adaptive to varying production scenarios.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hot Metal Temperature Prediction at Basic-Lined Oxygen Furnace (BOF) Converter Using IR Thermometry and Forecasting Techniques

2019

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“…The difference between both temperatures (T ' 2T i ) could increase many tens of degrees even if the thermal boundary layer is small. 10,11 T i ~T(x i , y i , z i )…”

Section: Wear/corrosion Phenomena In Lining Of Pyrometallurgical Reac...mentioning

confidence: 99%

“…Assuming that the melt in the furnace are metal and a slag, the parameters of equation ( 6) are: r S the slag density, z S slag eight, r M metal density, z m metal eight and P atm the atmospheric pressure over the bath. [9][10][11][12]…”

Section: Infiltrationmentioning

confidence: 99%

“…In this case, the corrosion rate is 0?27 cm h 21 (the 30 cm sole wear is achieved in 45 operations of 2?5 h each) and this value continues to be far from the value 3?70610 22 cm h 21 , the case of an EAF sole in carbon steel production. In this case, the simulation procedure uses v(corrosion) given by equation (10). To be able to use this corrosion equation it is necessary to know the melt movement in the interface with the refractory.…”

Section: Second Optimisation Of Lining: Change Of Furnace Bottommentioning

confidence: 99%

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Bottom design optimisation of electric arc furnace for ferromanganese production using nodal wear model

Parra

Mochón

Verdeja

et al. 2009

Ironmaking & Steelmaking

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This paper presents the optimisation on the design of the lining of an electric arc furnace that produces refined ferromanganese by applying the nodal wear model. This model is a new tool that systematises the wear/corrosion analysis applied to industrial furnaces linking the basic theoretical knowledge of the physical chemistry of wear/corrosion phenomena and the industrial conditions. The use of this tool to optimise the process helped increase the number of tappings between furnace bottom rebuilds from 19 in 1999 to 1200 in 2005 and the productivity to increase from 1?2 to 2?7 ton h 21 .

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The impact of hot metal temperature on CO2 emissions from basic oxygen converter

Díaz

Fernández

2019

Environ Sci Pollut Res

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Thermal modelling of a torpedo-car

Cited by 8 publications

References 0 publications

Hot Metal Temperature Prediction at Basic-Lined Oxygen Furnace (BOF) Converter Using IR Thermometry and Forecasting Techniques

Hot Metal Temperature Prediction at Basic-Lined Oxygen Furnace (BOF) Converter Using IR Thermometry and Forecasting Techniques

Bottom design optimisation of electric arc furnace for ferromanganese production using nodal wear model

The impact of hot metal temperature on CO2 emissions from basic oxygen converter

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