Efficient first-principle modelling of steel superheating in Electric Arc Furnaces

We present a dynamic model to characterise the superheating phase in electric arc steelmaking, aiming to capture the key dynamics through a first-principles approach. This approach ensures that the model parameters are physically meaningful, while maintaining computational efficiency suitable for future implementation in model predictive control. The paper details the process being modeled, elaborates on the underlying assumptions and their physical justifications, and validates the model through comparison with experimental data from a full-scale production plant. The obtained result indicate that the presented model is suitable for online use in control applications, a topic that will be further explored in the sequel of the research.

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Publication Details

Published
2025-06-24
DOI
https://doi.org/10.23919/ecc65951.2025.11187182
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
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article

Efficient first-principle modelling of steel superheating in Electric Arc Furnaces

Alberto Leva, Fabio Ranica, Renato Girelli, Franco Amadei et al.
Metallurgical Processes and Thermodynamics
article

Efficient first-principle modelling of steel superheating in Electric Arc Furnaces

Alberto Leva, Fabio Ranica, Renato Girelli, Franco Amadei, Lorenzo Caseri
article en

Abstract

We present a dynamic model to characterise the superheating phase in electric arc steelmaking, aiming to capture the key dynamics through a first-principles approach. This approach ensures that the model parameters are physically meaningful, while maintaining computational efficiency suitable for future implementation in model predictive control. The paper details the process being modeled, elaborates on the underlying assumptions and their physical justifications, and validates the model through comparison with experimental data from a full-scale production plant. The obtained result indicate that the presented model is suitable for online use in control applications, a topic that will be further explored in the sequel of the research.

University Carlo Cattaneo (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 70%
Metallurgical Processes and Thermodynamics
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