The proposed numerical model of temperature field for continuously cast strands provides a fully 3D prediction of the temperature distribution for slabs or billets of an arbitrary cross-section. The dynamic model iteratively solves transient heat transfer and solidification of the entire strand as it passes through the casting machine. The model is available in two versions: on-line version, which is usually integrated in the control system of steelworks and runs in real time, and off-line version, which can be utilized as a simulator tool.
An integration of the model to the control steelworks system allows casting parameters monitoring, data storage and their long-term analysis, parametric studies, etc. The use of the BrDSM can be extended by means of its coupling with:
- Fuzzy optimization module – to determine optimal casting parameters, appropriate control reactions at dynamic process changes or in the case of breakdown situations, casting machine modifications, etc.
- Model Predictive Control (MPC) – for future temperature prediction and optimal casting control.
- Graphics processing units (GPUs) – computation core which allows parallel calculation on GPU and speed up fine-mesh numerical simulation.
- System quality control – which collect and store casting data from BrDSM and predict the final quality of steel.
Main advantages
- Reduction of an occurrence of defects due to reheating.
- Control of the surface temperature between 950 °C and 1050 °C in the area of unbending.
- Improvement of the structure of cast steel.
- Increase of the casting productivity and flexibility.
Intellectual property
- Business/trade secrecy
Desired business relationship
- Analyses and studies of the current state in steel works including operational measurements.
- Optimization of the control system for continuous steel casting with an emphasis to secondary cooling, optimization of cooling curves and cooling strategies,design of cooling system of the casting machine.
- Dynamic model implementation (on-line).
- Development of quality and prediction systems.
Contact
Ing. Jana Ondroušková, Ph.D., Technology Transfer Office, This email address is being protected from spambots. You need JavaScript enabled to view it., +420 541 14 4225
