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Flow Control Based on Feature Extraction in Continuous Casting Process.

Shereen Abouelazayem1, Ivan Glavinić2, Thomas Wondrak2

  • 1Faculty of Mechatronics, Informatics and Interdisciplinary Studies, Technical University of Liberec, 461 17 Liberec, Czech Republic.

Sensors (Basel, Switzerland)
|December 4, 2020
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Summary
This summary is machine-generated.

This study uses ultrasound Doppler velocimetry (UDV) to visualize steel casting flow structures. Model predictive control (MPC) with UDV data optimizes flow for improved product quality.

Keywords:
industrial controlindustrial process tomographymodel predictive controlultrasound doppler velocimetry

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Area of Science:

  • Materials Science and Engineering
  • Process Control and Automation
  • Fluid Dynamics

Background:

  • Continuous steel casting mold flow significantly impacts final product quality.
  • Conventional sensors offer limited, indirect insights into complex flow structures.
  • Optimizing flow control is challenging due to the opacity of liquid metal.

Purpose of the Study:

  • To apply non-invasive sensing for visualizing and controlling flow structures in continuous steel caster molds.
  • To develop a real-time feedback control system based on extracted flow features.
  • To demonstrate the effectiveness of model predictive control (MPC) for optimizing mold flow.

Main Methods:

  • Utilizing ultrasound Doppler velocimetry (UDV) for non-invasive flow visualization and data acquisition.
  • Implementing detailed preprocessing and feature extraction techniques for UDV data.
  • Applying model predictive control (MPC) with electromagnetic brake and stopper rod actuators.

Main Results:

  • Successfully extracted key flow features from UDV measurements.
  • Demonstrated real-time feedback control achieving optimal flow structures.
  • Validated the control strategy on a laboratory model of a continuous caster.

Conclusions:

  • UDV provides crucial data for understanding and controlling mold flow.
  • MPC is an effective technique for optimizing flow structures in continuous casting.
  • Non-invasive sensing offers a viable solution for improving steel quality through advanced process control.