Shell Measurements and Mold Thermal Mapping Approach to Characterize Steel Shell Formation in Peritectic Grade Steels
Abstract
Herein, the prospects of detecting peritectic behavior in carbon steels (Fe-C) using solidified shell thickness measurements and real-time mold thermal maps are investigated. Irregular steel shell thickness and localized shell thinning are negative conditions associated with the peritectic transformation in many steel grades. Detailed three dimensional (3D) thickness maps are generated to directly contrast peritectic from nonperitectic solidification features using a laboratory dip test. Characterization of the steel shell also includes measurement of 3D shell surface deviations from a nominally flat surface. The unevenness parameter, which is calculated using the coefficient of variation in shell thickness as a function of the carbon content in the steel, clearly peaks around 0.14%C. A distributed fiber-optic sensor, embedded 1 mm from the working face of a 100 x 55 x 12 mm3 thick copper chill block, has been used to obtain real-time mold thermal maps of the solidification event during immersion of the block into molten steel. A programmable drive is used to control the motion of the chill block during immersion into a steel bath to minimize variability in immersion speed, position, and time. The thermal mapping measurements are well correlated with the shell profile measurements.
Recommended Citation
D. Balogun et al., "Shell Measurements and Mold Thermal Mapping Approach to Characterize Steel Shell Formation in Peritectic Grade Steels," Steel Research International, vol. 93, no. 1, article no. 2100455, Wiley, Jan 2022.
The definitive version is available at https://doi.org/10.1002/srin.202100455
Department(s)
Electrical and Computer Engineering
Second Department
Materials Science and Engineering
Research Center/Lab(s)
Peaslee Steel Manufacturing Research Center
Keywords and Phrases
Color Maps; Continuous Castings; Fiber-Optic Sensors; Peritectic Reactions; Thermal Maps
International Standard Serial Number (ISSN)
1611-3683
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2021 Wiley, All rights reserved.
Publication Date
01 Jan 2022
Comments
This work was sponsored by the Peaslee Steel Manufacuring Research Institute (PSMRC) at the Missouri University of Science and Technology Rolla MO, USA.