Speaker
Description
The market requirements on the production of high surface and internal quality steel products stimulate a deep understanding and systematic control of the steel solidification behaviour during the continuous casting process. Mathematical modelling is a crucial tool for this matter and therefore has been increasingly used for calculation of surface temperatures and shell growth during the continuous casting process. These decisive models play a crucial role for understanding and optimization of casting practices, cooling strategies and soft reduction calibration in order to prevent the formation of defects and enhance product quality. M2CAST is an off-line 2.5D mathematical heat transfer model, developed at the Montanuniversität Leoben in cooperation with industrial partners. The program uses accurate experimental set-ups, local boundary conditions and an in-house developed microsegregation model to simulate the solidification of a continuous slab casting and deliver helpful results for prediction of surface and internal quality issues. This paper will shortly present m2CAST in form of industrial applied case studies, with some validation, calibrations and adjustments in order to approach the model to real caster conditions. The simulation results were verified with slab temperature measurements and showed reasonable agreement in comparison to measured real data.