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Athermally enhanced recrystallization kinetics of ultra-low carbon steel via electric current treatment

Cited 37 time in Web of Science Cited 43 time in Scopus
Authors

Jeong, Kyeongjae; Jin, Sung-Woo; Kang, Sung-Gyu; Park, Ju-Won; Jeong, Hye-Jin; Hong, Sung-Tae; Cho, Seung Hyun; Kim, Moon-Jo; Han, Heung Nam

Issue Date
2022-06
Publisher
Elsevier BV
Citation
Acta Materialia, Vol.232, p. 117925
Abstract
The direct application of electric current as well as heat treatment can be used to recrystallize metallic materials. Electric current enhances the recrystallization kinetics, making the process time-and energy saving. The enhanced recrystallization kinetics observed during electric current treatment cannot be explained by Joule heating alone, and its quantitative analysis is yet to be conducted. This study systematically investigates the athermal effect of electric current on the recrystallization kinetics of ultra-low carbon steel. Specimens were subjected to electric current at various current densities to reach the target temperatures, and the resulting recrystallization kinetics were analyzed. A comparison with the specimens heat-treated at comparable target temperatures clearly shows that electric current treatment enhances the degree of recrystallization, and the recrystallization kinetics have a unique tendency to decrease and then increase as the electric current density increases. From the recrystallization fraction difference between the electric current-treated and heat-treated specimens, we deduce the athermal effect of the electric current on recrystallization and describe the athermally enhanced recrystallization kinetics using the Johnson-Mehl-Avrami-Kolmogorov equation considering the effective activation energy and temperature. The calculated recrystallization fraction implies that the athermal effect of the electric current becomes more pronounced with increasing electric current density. This study suggests that the athermal effect of electric current in the material fabrication process can be evaluated and predicted. (c) 2022 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.
ISSN
1359-6454
URI
https://hdl.handle.net/10371/182680
DOI
https://doi.org/10.1016/j.actamat.2022.117925
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