9th ECCC European Continuous Casting Conference – ECCC 2017

These days the combination and utilization of the advanced numerical simulation techniques with the regulation algorithms is become the common standard in the industry production. In this paper the 3D macro solidification model for continuous casting process and original fuzzy logic regulator is described. The regulator was created in the focus on surface slab quality improvement. The macro solidification model calculates the temperature distribution through the strand and passes the data to the fuzzy regulator. The fuzzy regulator tunes the cooling intensity in the secondary cooling zone based on the temperature field in order to achieve desire temperature profile. This approach is demonstrate on the radial slab casting process for structural steel S355. The real casting data were statistically evaluated from 210 heats and dependency between cooling intensity and final slab quality was statistically proven. The simulation/optimization reacts on dynamic changes in process parameters and give the optimal cooling intensity in the secondary cooling zone through whole casting process which leads to the desire surface quality. The obtained results are also used for quality prediction system.