Steel Continuous Casting Excellence With MAGMA CC
Committed to casting excellence, MAGMA CC delivers robust solutions for steel continuous casting, emphasizing the design of process conditions to optimize product quality. This comprehensive solution offers a streamlined process, covering flow and solidification evaluation, stress, and crack assessment. It forms an integrated process chain for casting and forming.
MAGMA CC Capabilities in Steel Continuous Casting:
- Comprehensive prediction of all process steps in continuous casting.
- Offering a virtual test environment for productivity optimization.
- Enabling quick decision-making and time savings for all parties involved.
- Proactive quality management by understanding process fluctuations.
- Enhancing communication and cooperation within organizations and with customers.
Whole-Cycle Simulation: Liquid Steel Flow in Continuous Casting Machine with Five-Strand Tundish
Snapshot of Velocity and Temperature Fields in Mold with Submerged Entry Nozzle (SEN)
Thermal Control Insight: Simulated Slab Surface Temperature and Temperature Profiles of Narrow and Wide Faces Across Slab-Shaped Strand Length
Quantitative Analysis of Flow Patterns: Tracer-Based Visualization in Comparative Cases with and without EMS
Thermomechanical Coupling Simulation: Deformation and Air Gap Formation in Withdrawn Billet with Accurate Heat Transfer Coefficient Definition
Modeling of Thin Slab Casting Process: Superheat Distribution in a Funnel-Type Mold
Predictive Modeling in Continuous Casting: Real-Time Simulation of Metallurgical Length, and Strand Shell Thickness
Process Design and Optimization Features:
- Representation of the entire and integrated continuous casting process, assessing thermal, flow, and stress-related factors
- Segregation and prediction of solidification structure
- Prediction of inclusions and optimization of cleanliness throughout the process in the tundish and in the mold
- Calculation of the solidification front to avoid quality defects
- Fully integrated electromagnetic stirring (EMS) module for assessing flow conditions and the impact on heat and mass transfer, and shell thickness growth
- Accurate prediction of the metallurgical length
- Evaluation of optimal process parameters and robust process conditions
Publicación en el área de fundición continua
Autonomous Mathematical Optimization of Continuous Casting Processes
Editors:
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.
