We proudly announce our new simulation of EMS which will be available with with the next MAGMA CC version.
HIGHLIGHTS OF MAGMA CC 5.5
The continuous casting process is of crucial importance for the manufacture of semi-finished products. Liquid metal is introduced into a short, intensively cooled mold, which may include graphite inserts, from a tundish or launder. At the same rate, metal is withdrawn from the mold, where the presence of a stable solidified shell at the end of the mold needs to be assured. In the start-up phase, a starting ingot is positioned in the mold, and after reaching the desired filling level, the starting ingot is removed and the metal inflow adjusted accordingly. The primary cooling in the mold is of decisive importance for the formation of a stable solidified shell. Further cooling of the strand takes place in the so-called secondary cooling zone. For process design and optimization, MAGMA CC, is a fully integrated and practically relevant turn-key solution providing meaningful information for the simulation based optimization of vertical and horizontal continuous casting processes.
MAGMA CC supports continuous casters to reach the following objectives:
MAGMA CC can be used for the casting of copper and copper alloys, aluminum alloys and steel. The program can be used to improve product quality before start of production as well as for continuous improvement during production. With the help of virtual Design of Experiments and autonomous optimization, the process and product-specific limits of the relevant process variables are determined for a safe production of high quality products. MAGMA CC includes the calculation of flow, solidification and stresses, taking into account primary and secondary cooling. Thus, the interactions between the inflowing melt, the solidified shell of the strand and the mold can be judged.
Autonomous Mathematical Optimization of Continuous Casting Processes
Wilfried Schäfer, Götz Hartmann, Erik Hepp, MAGMA GmbH, Aachen, Germany
Dieter G. Senk, Sonja Stratemeier, IEHK RWTH Aachen University, Germany
The publication introduces a numerical simulation based optimization strategy, following rigorous thermodynamic and thermo mechanical models as well as a strictly methodic approach.