A Review of Macrosegregation Simulation for the Continuous Casting Process

Macrosegregation is a common defect that occurs on a large‐scale range of 0.01–1 m, and cannot be eliminated during the rolling and homogenization heat treatment process. A comprehensive understanding of its formation mechanisms and accurate predictive modeling is significant for both scientific research and industrial practice. The review first outlines the fundamental mechanisms of macrosegregation formation, including negative segregation in the subsurface, positive segregation in the columnar‐to‐equiaxed transition zone, V‐shaped segregation, and center segregation. The two primary modeling approaches (the continuum model and the multiphase solidification model) are compared in terms of their governing equations and computational efficiency. Recent developments and applications of macrosegregation in both approaches are summarized. Continuum models are advantageous for large‐scale industrial simulations due to their lower computational demand, while multiphase solidification models are preferred when detailed mechanisms of solid–liquid interaction need to be captured. In future simulating studies on macrosegregation, macrosegregation modeling could incorporate machine learning approaches to enable real‐time forecasting. For precise predictions of macrosegregation, the coupling of macrosegregation modeling with formation and growth kinetics of inclusions should be established and used in the simulation of the continuous casting process.

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Publication Details

Journal
steel research international
Published
2025-11-11
DOI
https://doi.org/10.1002/srin.202500586
Citations
2
Primary Topic
Solidification and crystal growth phenomena
Type
article
Field-Weighted Citation Impact
1.04
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article

A Review of Macrosegregation Simulation for the Continuous Casting Process

Lifeng Zhang, Yadong Wang
2 citations
steel research international
Solidification and crystal growth phenomena
1.04
article

A Review of Macrosegregation Simulation for the Continuous Casting Process

Lifeng Zhang, Yadong Wang
article en
2 citations

Abstract

Macrosegregation is a common defect that occurs on a large‐scale range of 0.01–1 m, and cannot be eliminated during the rolling and homogenization heat treatment process. A comprehensive understanding of its formation mechanisms and accurate predictive modeling is significant for both scientific research and industrial practice. The review first outlines the fundamental mechanisms of macrosegregation formation, including negative segregation in the subsurface, positive segregation in the columnar‐to‐equiaxed transition zone, V‐shaped segregation, and center segregation. The two primary modeling approaches (the continuum model and the multiphase solidification model) are compared in terms of their governing equations and computational efficiency. Recent developments and applications of macrosegregation in both approaches are summarized. Continuum models are advantageous for large‐scale industrial simulations due to their lower computational demand, while multiphase solidification models are preferred when detailed mechanisms of solid–liquid interaction need to be captured. In future simulating studies on macrosegregation, macrosegregation modeling could incorporate machine learning approaches to enable real‐time forecasting. For precise predictions of macrosegregation, the coupling of macrosegregation modeling with formation and growth kinetics of inclusions should be established and used in the simulation of the continuous casting process.

steel research international
North China University of Technology (CN)
Openalex Percentile: Top 21%
Solidification and crystal growth phenomena
1.04
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