Prediction on Three-Dimensional Spatial Distribution of Inclusions in a Continuous Casting End Slab

A three-dimensional (3D) mathematical model was established, coupling the large eddy simulation (LES) turbulent model, heat transfer model, solidification model, discrete phase model (DPM), and dynamic mesh model. Based on the actual continuous casting (CC) end process, the numerical simulation was divided into 4 stages. A method for calculating the motion velocity of the dynamic wall and the solidified shell was proposed to achieve the coupled simulation of transient flow, heat transfer, and solidification. In stage 1, molten steel speed and jet depth decreased as casting speed reduced, while the shell thickness steadily increased. In stage 2, after the submerged entry nozzle (SEN) removal, the molten steel speed and temperature dropped rapidly, and the circulation flow dissipated. In stage 3, the remaining molten steel region gradually decreased, and complete solidification occurred at approximately 4647.5 s, with the final solidification position located about 0.28 m below the end of the last slab. Based on the actual CC end stages and the entrapped positions of inclusions, a method for calculating the actual positions of inclusions was introduced to predict the 3D spatial distribution of inclusions in a CC end slab. The normalized number (NN) of inclusions exhibited a fluctuating downward trend with the increasing distance below the end of the last slab. It was recommended to cut the last slab at 4 m to ensure cleanliness, while the 3D normalized number density (NND) of inclusions in regions beyond 7 m below the end of the last slab reached a lower stable value.

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Publication Details

Journal
ISIJ International
Published
2025-10-22
DOI
https://doi.org/10.2355/isijinternational.isijint-2025-134
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Prediction on Three-Dimensional Spatial Distribution of Inclusions in a Continuous Casting End Slab

Feng‐Chen Li, Bin Chen, Lifeng Zhang, Haibo Li et al.
ISIJ International
Manufacturing Process and Optimization
article

Prediction on Three-Dimensional Spatial Distribution of Inclusions in a Continuous Casting End Slab

Feng‐Chen Li, Bin Chen, Lifeng Zhang, Haibo Li, Wei Chen, Guosen Zhu
article en

Abstract

A three-dimensional (3D) mathematical model was established, coupling the large eddy simulation (LES) turbulent model, heat transfer model, solidification model, discrete phase model (DPM), and dynamic mesh model. Based on the actual continuous casting (CC) end process, the numerical simulation was divided into 4 stages. A method for calculating the motion velocity of the dynamic wall and the solidified shell was proposed to achieve the coupled simulation of transient flow, heat transfer, and solidification. In stage 1, molten steel speed and jet depth decreased as casting speed reduced, while the shell thickness steadily increased. In stage 2, after the submerged entry nozzle (SEN) removal, the molten steel speed and temperature dropped rapidly, and the circulation flow dissipated. In stage 3, the remaining molten steel region gradually decreased, and complete solidification occurred at approximately 4647.5 s, with the final solidification position located about 0.28 m below the end of the last slab. Based on the actual CC end stages and the entrapped positions of inclusions, a method for calculating the actual positions of inclusions was introduced to predict the 3D spatial distribution of inclusions in a CC end slab. The normalized number (NN) of inclusions exhibited a fluctuating downward trend with the increasing distance below the end of the last slab. It was recommended to cut the last slab at 4 m to ensure cleanliness, while the 3D normalized number density (NND) of inclusions in regions beyond 7 m below the end of the last slab reached a lower stable value.

ISIJ InternationalVol. 65(13)
North China University of Technology (CN), Yanshan University (CN), Shougang Institute of Technology (CN), Research Institute of Technology (Russia) (RU)
National Natural Science Foundation of China, Yanshan University, North China University of Technology
Openalex Percentile: Top 57%
Manufacturing Process and Optimization
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