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Development of an Electric Arc Furnace Simulation Model Using the Effective Equilibrium Reaction Zone (EERZ) Approach

  • Computational Modeling of Metallurgical Furnaces
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Abstract

The development of a kinetic process model for the electric arc furnace (EAF) based on the effective equilibrium reaction zone approach is presented. The model combines kinetic expressions with accurate thermodynamic databases to predict the evolution of the mass, temperature and composition of the scrap, liquid metal, slag and gas phase during the process. The model addresses all the main phenomena occurring during the EAF process using empirical relations linked to process conditions: charge heating by arc and burners, scrap melting, C and O2 injection, slag-metal-gas reactions and post-combustion. The model can effectively reproduce measured endpoint temperature and composition of the slag and liquid metal in industrial EAF and illustrates the benefits of the hot heel practice. The model serves as a tool to assist in the optimization of the process operation conditions and in the design and evaluation of new process scenarios.

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Acknowledgements

Financial support from Tata Steel Europe, Posco, Hyundai Steel, Nucor Steel, RioTionto Iron and Titanium, Nippon Steel Corp., JFE Steel, Voestalpine, RHI Magnesita, SeAH Besteel, Doosan Heavy Industry and Construction, and SCHOTT AG is gratefully acknowledged. This work was also partially supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korean government (MOTIE) (20217510100080, Development of critical metal recovery technologies (capacity of 200 kg/day) from low-grade solid wastes for the foundation of open access recycling platform).

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  1. Department of Materials Science and Engineering, and Research Institute of Advanced Materials (RIAM), Seoul National University, Seoul, 08826, South Korea

    Marie-Aline Van Ende

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Correspondence to Marie-Aline Van Ende.

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Van Ende, MA. Development of an Electric Arc Furnace Simulation Model Using the Effective Equilibrium Reaction Zone (EERZ) Approach. JOM 74, 1610–1623 (2022). https://doi.org/10.1007/s11837-022-05186-3

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  • DOI: https://doi.org/10.1007/s11837-022-05186-3

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