Adaptation of a Heat Flux Density Distribution Model for the Copper Wall of a Slab Continuous Casting Mold Using Production Data

Industrial steel casting data are subjected to statistical processing, and a mathematical model and an algorithm for calculating an adaptive coefficient for the heat flux density of a copper mold are developed. The statistical processing of industrial data is shown to reflect the influence of the casting speed on the temperature drop of the cooling water at the inlet and outlet of the mold walls. The calculation of the adaptive heat flux coefficient with allowance for industrial data allows a computer model of heat flux density distribution over the copper wall to be adapted to the operation of a real mold. The presented results can be useful for controlling slab formation and improving the efficiency of monitoring the thermal characteristics of the mold.