Quantitative influence of solidification path on solute micro-segregation and inclusion precipitation in the solidification process of rail steel

A solute redistribution model, which takes the phase transformation and MnS precipitation during the solidification of rail steel into consideration, was established. The influence of solidification path on solute micro-segregation and inclusion precipitation was quantitatively analyzed. Furthermore, the effects of MnS inclusion precipitation, equilibrium distribution coefficient ( k i ), and back-diffusion coefficient ( β i ) on solute micro-segregation were investigated. The results indicate that the solidification path significantly influences solute micro-segregation and MnS precipitation in the solidification process. When the carbon content ranges from 0.018% to 0.054%, the peritectic transformation occurs at the end of solidification, and the carbon content significantly affects MnS inclusion precipitation and solute micro-segregation. The carbon content influences solute redistribution through the changes in solidification temperature and phase composition, resulting in the variations in k i and β i , which in turn affects solute micro-segregation. The impact of k i on solute micro-segregation is significantly influenced by phase composition, while β i is affected by both temperature and phase composition. There is a competitive relationship between k i and β i concerning solute micro-segregation. The research findings provide a foundation for further elucidating the laws of solute redistribution during the solidification of molten steel, thereby effectively improving the quality of rail steel casting bloom.

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Publication Details

Journal
Journal of Materials Research and Technology
Published
2024-12-13
DOI
https://doi.org/10.1016/j.jmrt.2024.12.096
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
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article

Quantitative influence of solidification path on solute micro-segregation and inclusion precipitation in the solidification process of rail steel

Fucheng Zhang, Xufeng Gao, Chengcheng Wang, Tao Li et al.
Journal of Materials Research and Technology
Metallurgical Processes and Thermodynamics
article

Quantitative influence of solidification path on solute micro-segregation and inclusion precipitation in the solidification process of rail steel

Fucheng Zhang, Xufeng Gao, Chengcheng Wang, Tao Li, Yandong Wang, Zhinan Yang, Zheng Zhang, B.A. WENYUE
article en

Abstract

A solute redistribution model, which takes the phase transformation and MnS precipitation during the solidification of rail steel into consideration, was established. The influence of solidification path on solute micro-segregation and inclusion precipitation was quantitatively analyzed. Furthermore, the effects of MnS inclusion precipitation, equilibrium distribution coefficient ( k i ), and back-diffusion coefficient ( β i ) on solute micro-segregation were investigated. The results indicate that the solidification path significantly influences solute micro-segregation and MnS precipitation in the solidification process. When the carbon content ranges from 0.018% to 0.054%, the peritectic transformation occurs at the end of solidification, and the carbon content significantly affects MnS inclusion precipitation and solute micro-segregation. The carbon content influences solute redistribution through the changes in solidification temperature and phase composition, resulting in the variations in k i and β i , which in turn affects solute micro-segregation. The impact of k i on solute micro-segregation is significantly influenced by phase composition, while β i is affected by both temperature and phase composition. There is a competitive relationship between k i and β i concerning solute micro-segregation. The research findings provide a foundation for further elucidating the laws of solute redistribution during the solidification of molten steel, thereby effectively improving the quality of rail steel casting bloom.

Journal of Materials Research and TechnologyVol. 34
North China University of Science and Technology (CN), Yanshan University (CN), Northeastern University (CN)
Openalex Percentile: Top 77%
Metallurgical Processes and Thermodynamics
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