Development and application of a thermal model for the relined ladle in China Steel Corporation

Wang, Pai-Hsiang

doi:10.1002/(sici)1099-114x(199605)20:5<423::aid-er164>3.0.co;2-4

Cited by 4 publications

(4 citation statements)

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“…Because of the importance of the thermal status of ladle in steel making, a number of studies have been carried out. Chen and Wang 1 developed a semi‐theoretical model to simulate the dynamic thermal phenomena of the relined ladle in the China Steel Corporation. One part of the model simulated the drying and preheating states, where natural convection and radiation were taken into account.…”

Section: Introductionmentioning

confidence: 99%

Thermal Modelling of the Ladle Preheating Process

Glaser

Görnerup

Sichen

2011

steel research int.

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To predict the temperature distribution in the ladle wall during the preheating process a two dimensional model was developed. The model calculated the heat transfer and the velocity field in the gas phase inside the ladle as well as the heat transfer in the solid walls during the preheating process. Measurements of the temperature in an industrial lade were carried out using an infrared radiation (IR) camera. The measurements were made inside and outside the ladle. The model predictions were found to be in reasonably good agreement with the measured temperatures. It was found that the preheating time could be minimized when the working lining became thinner. The effect of the distance between the lid and the ladle was also studied by the model. The results indicated that there was no significant temperature change on the upper side wall of the ladle. On the lower side wall and bottom the temperature changed slightly. The temperature difference in the lower part of the ladle could be explained by the larger flame distance from the bottom layer.

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Section: Introductionmentioning

confidence: 99%

Thermal Modelling of the Ladle Preheating Process

Glaser

Görnerup

Sichen

2011

steel research int.

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“…Roughly two kinds of methods were used in assessing steel ladle heat losses. One is direct measurement of the temperatures of steel melt and/or ladle linings [2][3][4][5][6][7][8][9][10]; the other is mathematical modelling [5][6][7][8][9][10][11][12][13][14][15][16][17]. Furthermore, previous publications also demonstrated that the latter method exhibited more advantages over the former in view of efficiency, effort and cost.…”

Section: Prediction Of Steel Ladle Heat Loss Ratementioning

confidence: 99%

“…Furthermore, previous publications also demonstrated that the latter method exhibited more advantages over the former in view of efficiency, effort and cost. Consequently, the method of mathematical modelling has been widely applied and various mathematical thermal models have been developed [5][6][7][8][9][10][11][12][13][14][15][16][17]. With the help of the developed mathematical models, it is possible to predict the heat loss rates for steel ladles in terms of bulk cooling rates or heat loss fluxes, which can serve as thermal boundary conditions for further numerical analyses on the fluid dynamics in steel ladles.…”

Section: Prediction Of Steel Ladle Heat Loss Ratementioning

confidence: 99%

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Numerical studies on the parameters influencing steel ladle heat loss rate, thermal stratification during holding and steel stream temperature during teeming

Pan

Grip

Björkman

2003

Scand Jof Metallurgy

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Numerical experiments were performed on fluid flow and heat transfer in 107‐tonne steel ladles by 3‐step implementations of numerical models. In the first step, a 1‐dimensional numerical model was used to predict heat conduction fluxes through the ladle wall, bottom and top slag layer. In the second step, by means of computational fluid dynamics (CFD) modelling and employing the predicted heat loss fluxes as thermal boundary conditions, a 2‐dimensional CFD model was applied to simulate natural convection in steel ladles during the holding period before teeming. In the third step, a 3‐dimensional CFD model was implemented to further simulate fluid dynamics in the same ladles with drainage flows during teeming. Using these mathematical numerical models, the bulk cooling rate of the steel melt, the extent of thermal stratification during holding and the steel stream temperature during teeming were investigated for 2 types of 107‐tonne steel ladles lined, respectively, with alumina and spinel in walls. In these investigations, the following 4 parameters were considered: (i) ladle lining inside surface (hot‐face) temperature before tapping, (ii) top slag layer thickness, (iii) holding time and (iv) teeming rate. An important result of these investigations is that the concerned parameters all significantly influence the steel stream temperature during teeming, and the differences in teeming stream temperatures among different ladles, caused by these parameters, can be up to 20°C, which may be essential to temperature control in tundishes during continuous casting.

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A Model for Predicting the Melt Temperature in the Ladle and in the Tundish as a Function of Operating Parameters during Continuous Casting

Jormalainen¹,

Louhenkilpi

2006

steel research international

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A mathematical model for predicting the melt temperatures in the ladle and in the tundish during continuous casting has been developed. First of all, a chain of models was created for the following stages of the ladle cycle; the preheating of the empty ladle, filling of the ladle, period in the ladle furnace, waiting period prior to casting, the casting period, and, finally, the free cooling period of the empty ladle. Models, written in CFD code, were used in sequence so that each simulation continued from the results of the simulation of the previous stage. An intermediate model was constructed to estimate the outlet temperature of melt drained from the ladle. Then the work was continued by performing simulations in the tundish, using as input the temperature of the simulated melt feed from the ladle and, as an initial condition, the temperature field of the remaining melt in the tundish. The final model “TEMPARV3” was created and tested by means of measured tundish data received from a steel plant. By means of statistical analysis the coefficients of correlation between the test data and model data at the start, in the middle period, and at the end of casting were calculated to be 0.9, 0.92 and 0.87, respectively. So, the most effective predictive power of the model in the tundish by means of a sequential casting schedule is realized during the middle period of the casting process. The model is applied interactively by a user interface, which expresses the predicted melt temperatures numerically and with graphical curves. The predictive model can be used off‐line as a tool for scheduling the stage operations in advance. The program may be utilized on‐line to estimate the superheat needed and to control periods of the operation. In extreme cases, when the model alerts the operator about the danger of superheat loss having a critical effect on casting, the operator has a chance to take adjustment measures. In addition to production work, the model could be of benefit for studying changes in operating parameters, for training operators, and for use as a “low‐cost computational pilot plant” in process development in general.

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Development and application of a thermal model for the relined ladle in China Steel Corporation

Cited by 4 publications

References 0 publications

Thermal Modelling of the Ladle Preheating Process

Thermal Modelling of the Ladle Preheating Process

Numerical studies on the parameters influencing steel ladle heat loss rate, thermal stratification during holding and steel stream temperature during teeming

A Model for Predicting the Melt Temperature in the Ladle and in the Tundish as a Function of Operating Parameters during Continuous Casting

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