The Prediction Model Of Temperature Of Molten Steel In Tundish Of The No.1 Steel-Making Plant Of Baosteel

With the development of continuous casting, more and more request is brought forword to the steel products. As the middle working procedure of steel-making process and the joint from intermittent operation to continuous operation, the function of tundish is get more and more attention by the researchers. It is most important for tundish to stabilize the casting temperature and to improve billets quality in the steel-making process.In this paper, the main purpose is to study the heat state of the tudish and to find out the factors which affect the temperature of molten steel. The basic theory of heat transfer and the regression method used to predict the molten steel temperature in tundish with different poring time. And these are very useful to build the schedule and management system of molten steel of the No.1 steel-making plant of Baosteel.The result shows that the main reasons of the heat losing of tundish are the deposited heat of tundish lining and the radialization of the above surface of tundish. The temperature of molten steel is increasing constantly since the beginning of continuous casting and the temperature arrives the maximum after about 20 minutes from the beginning. The temperature reduces since then. The curve of temperature of molten steel and the casting time is the non-linear equation including thrice item by analyzing.In the on-line mathematics model, the time of warming-up of tundish (x₁) and the temperature of molten steel while the ladle arriving the turning platform( x₂) and the waiting time in turning platform( x₃) and casting time( x₄) are the main factors whicheffect molten steel temperature. The mathematics model is:y = -29.13 + 0.03022x₁, + 0.9922x₂ - 0.2717x₃ + 1.624x₄-0.05660jc₄² +0.0005228x₄³Through the off-line testing, the error within 10 centigrade occupies 89.75 percent by comparing the predictive temperature with the actual temperature. It is undoubtedly to bring active function of this model for controlling the temperature of molten steel. Combining with other methods, the temperature of molten steel can be controlled to a narrow fluctuation range and it is very important to improve the billets quality and to reduce productive cost and the management of mass flow.