Mathematical Model for Forecasting Temperature of Molten Steel during the Continuous Casting Process

The regularity of liquid steel temperature during BOF tapping to the tundish process was studied. With the neural network theory, a mathematical model for forecasting the temperature change of molten steel and its non-lineal functional relations with the influencing factors during CC have been established. With this model, the steel temperature in the CC process can be predicted more correctly.