A Kinetic Model for the Quantitative Estimation of Carryover Slag During BOF Tapping Using Computational Thermodynamics

Carryover slag (COS) entrained from the basic oxygen furnace (BOF) during tapping is highly oxidizing and affects secondary steelmaking by increasing deoxidizer consumption, refractory wear, P reversion, and decreasing steel cleanliness. A kinetic COS amount estimation model was developed by using the effective equilibrium reaction zone (EERZ) method. The amount of COS was determined by iteratively adjusting the carryover slag coefficient (CSC) until predicted steel and slag compositions approached industrial measurements. Validation with four industrial heats confirmed that the model effectively predicts COS under both complete and incomplete deoxidation conditions. Further simulation results show that increasing the CSC from 2 to 4 kg per tonne of steel leads to 9.3 ppm P reversion. The calculations also confirmed that larger COS amounts accelerate refractory wear due to the higher input of readily reducible components, particularly FeO and MnO.

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Publication Details

Journal
Metals
Published
2026-03-17
DOI
https://doi.org/10.3390/met16030334
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
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article

A Kinetic Model for the Quantitative Estimation of Carryover Slag During BOF Tapping Using Computational Thermodynamics

Puhong Cheng, Qing Zheng, Daniel Kavić, Christian Bernhard
Metals
Metallurgical Processes and Thermodynamics
article

A Kinetic Model for the Quantitative Estimation of Carryover Slag During BOF Tapping Using Computational Thermodynamics

Puhong Cheng, Qing Zheng, Daniel Kavić, Christian Bernhard
article en

Abstract

Carryover slag (COS) entrained from the basic oxygen furnace (BOF) during tapping is highly oxidizing and affects secondary steelmaking by increasing deoxidizer consumption, refractory wear, P reversion, and decreasing steel cleanliness. A kinetic COS amount estimation model was developed by using the effective equilibrium reaction zone (EERZ) method. The amount of COS was determined by iteratively adjusting the carryover slag coefficient (CSC) until predicted steel and slag compositions approached industrial measurements. Validation with four industrial heats confirmed that the model effectively predicts COS under both complete and incomplete deoxidation conditions. Further simulation results show that increasing the CSC from 2 to 4 kg per tonne of steel leads to 9.3 ppm P reversion. The calculations also confirmed that larger COS amounts accelerate refractory wear due to the higher input of readily reducible components, particularly FeO and MnO.

MetalsVol. 16(3)
Montanuniversität Leoben (AT), Xiangtan Electric Manufacturing Group (China) (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Metallurgical Processes and Thermodynamics
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