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Simulation Model of a Steelmaking-Continuous Casting Process Based on Dynamic-Operation Rules.

Xin Shao1, Qing Liu1,2, Hongzhi Chen1

  • 1State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, China.

Materials (Basel, Switzerland)
|September 14, 2024
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Summary

This study developed a dynamic simulation model for steelmaking-continuous casting processes (SCCP) to optimize production. The optimized schedule significantly reduced completion and waiting times, improving operational efficiency.

Keywords:
dynamic-operation rulesdynamic-operation simulationplant simulationsequence-casting constraintssteelmaking–continuous casting

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Area of Science:

  • Metallurgical Engineering
  • Industrial Process Simulation
  • Operations Research

Background:

  • The steelmaking-continuous casting process (SCCP) is a complex manufacturing operation with inherent variability.
  • Accurate simulation is crucial for optimizing SCCP production and addressing challenges like fluctuating cycles and ladle operations.

Purpose of the Study:

  • To develop a dynamic simulation model for the SCCP using Plant Simulation software.
  • To design dynamic operation rules and a control program using SimTalk for continuous caster operation.
  • To verify the model's effectiveness and compare scheduling strategies.

Main Methods:

  • Development of a dynamic simulation model for SCCP based on Plant Simulation.
  • Implementation of dynamic operation rules and a SimTalk-based control program.
  • Validation using metrics like total completion time, transfer time, and ladle turnover frequency.

Main Results:

  • The dynamic simulation model accurately reflects actual SCCP production behavior.
  • The optimized schedule, based on 'furnace-machine coordinating' mode, reduced total completion time by 8.7 minutes and transfer waiting time by 45.5 minutes compared to heuristic schedules.
  • The optimized schedule also decreased rescheduling frequency, demonstrating superior application effects.

Conclusions:

  • The dynamic simulation model is effective for simulating and optimizing SCCP.
  • The 'furnace-machine coordinating' scheduling mode significantly improves production efficiency and reduces delays.
  • This approach offers a valuable tool for enhancing operational control and decision-making in steelmaking.