Shereen Abouelazayem, Ivan Glavinić
The flow structure in the mold of a continuous steel caster has a significant impact on the quality of the final product. Conventional sensors used in industry are limited to measuring single variables such as the mold level, providing very indirect information about the flow structure. This paper presents a solution by applying non-invasive sensors, specifically ultrasound Doppler velocimetry (UDV), to visualize the flow structure in the opaque liquid metal, allowing for a better understanding of the mold dynamics. The study details the preprocessing of UDV data and the feature extraction techniques employed. The extracted flow features serve as the foundation for real-time feedback control using model predictive control (MPC) techniques. The results demonstrate the effectiveness of the controller in achieving optimum flow structures within the mold, utilizing two main actuators: the electromagnetic brake and the stopper rod. Experimental results were obtained from a laboratory model of a continuous caster located at the Helmholtz-Zentrum Dresden Rossendorf (HZDR), showcasing the viability of this approach to enhance process control in steel production.
@article{cd72e2d7-af76-4592-aa30-333b4923bfd1,
title={Flow Control Based on Feature Extraction in Continuous Casting Process},
author={Shereen Abouelazayem and Ivan Glavinić},
year={2020},
language={English}
}TY - JOUR TI - Flow Control Based on Feature Extraction in Continuous Casting Process AU - Shereen Abouelazayem AU - Ivan Glavinić PY - 2020 LA - English ER -
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