Investigation of Local Cooling Rate and Microsegregation Behavior in Low‐Carbon Steel During Thin Slabs Continuous Casting Process

High‐speed thin slab casting is challenging for peritectic steel production due to increased crack sensitivity at higher casting speeds. During the solidification process of peritectic steel, the peritectic reaction involving liquid, δ‐ferrite, and γ‐ferrite phases occurs and is influenced by cooling rate. The cooling rate affects dendritic formation, micro‐segregation, and solidification shrinkage, making obtaining the actual cooling rate crucial for controlling the formation of cracks. This study investigates the cooling rate differences between the edge and internal regions of 1250 mm × 115 mm thin slabs of Fe–0.185C–0.2Mn–0.12Si peritectic steel. Using industrial sampling, directional solidification experiments, electron probe microanalysis (EPMA), and optical microscopy (OM), the study investigates microsegregation and microstructure evolution. A novel predictive model (λ 2 = 83.41 C R −0.319 ) for local cooling rate is established through thermodynamic calculations. Results show the average cooling rate at the edge is 1.80°C/s, while the internal rate is 0.36°C/s. The microsegregation of carbon and manganese is validated by the Voller and Beckermann model. This work establishes a predictive model for local cooling rate, analyzes the differences in element microsegregation and cooling rate between the edge and internal regions of thin slab, and provides a foundation for designing cooling strategies to improve the quality of thin slab .

Authors

Institutions

Publication Details

Journal
steel research international
Published
2026-04-30
DOI
https://doi.org/10.1002/srin.70489
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of Local Cooling Rate and Microsegregation Behavior in Low‐Carbon Steel During Thin Slabs Continuous Casting Process

H Y Wang, C R Wang, Q Liu, Shuo Ma et al.
steel research international
Metallurgical Processes and Thermodynamics
article

Investigation of Local Cooling Rate and Microsegregation Behavior in Low‐Carbon Steel During Thin Slabs Continuous Casting Process

H Y Wang, C R Wang, Q Liu, Shuo Ma, Junxiong Huang, Ming Li, Jiangshan Zhang
article en

Abstract

High‐speed thin slab casting is challenging for peritectic steel production due to increased crack sensitivity at higher casting speeds. During the solidification process of peritectic steel, the peritectic reaction involving liquid, δ‐ferrite, and γ‐ferrite phases occurs and is influenced by cooling rate. The cooling rate affects dendritic formation, micro‐segregation, and solidification shrinkage, making obtaining the actual cooling rate crucial for controlling the formation of cracks. This study investigates the cooling rate differences between the edge and internal regions of 1250 mm × 115 mm thin slabs of Fe–0.185C–0.2Mn–0.12Si peritectic steel. Using industrial sampling, directional solidification experiments, electron probe microanalysis (EPMA), and optical microscopy (OM), the study investigates microsegregation and microstructure evolution. A novel predictive model (λ 2 = 83.41 C R −0.319 ) for local cooling rate is established through thermodynamic calculations. Results show the average cooling rate at the edge is 1.80°C/s, while the internal rate is 0.36°C/s. The microsegregation of carbon and manganese is validated by the Voller and Beckermann model. This work establishes a predictive model for local cooling rate, analyzes the differences in element microsegregation and cooling rate between the edge and internal regions of thin slab, and provides a foundation for designing cooling strategies to improve the quality of thin slab .

steel research international
HBIS (China) (CN), Shandong Iron and Steel Group (China) (CN), Shougang (China) (CN), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Metallurgical Processes and Thermodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.