Revisiting the model for austenite grain size of M50 steel coupled with the carbide dissolution behavior

This study investigates the effects of time, temperature, and granular M 2 C carbides on the evolution of the average grain size of M50 steel. Based on classical theoretical models, it develops a predictive model for the average austenite grain size distribution. The research encompasses a temperature range of 1000 to 1200°C and an isothermal holding time range of 15 to 180 minutes, with the objective of examining the grain growth behavior of M50 high-temperature bearing steel under various isothermal conditions. The findings demonstrate that temperature is the predominant factor influencing the distribution of granular M 2 C carbides, which play a pivotal role in the migration of grain boundaries. When the temperature exceeds 1100°C, M 2 C carbides undergo significant dissolution, thereby reducing their pinning effect on the grain boundaries and causing the austenite grains in M50 high-temperature bearing steel to grow rapidly. The temperature range is categorized into low- and high-temperature zones, delineated by the threshold temperature for significant M 2 C carbide dissolution. In the low-temperature zone, the austenite grain size increases at a slow rate over time, while in the high-temperature zone, the grain size increases rapidly. The classical Arrhenius grain size distribution model was employed to re-model the time factor ( n ) with a linear equation and a log-normal function in the low and high-temperature zones, respectively. This was done to establish the relationship between the time factor and holding temperature, thereby enabling the model to dynamically reflect the influence of second-phase solute particles on grain size.

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Publication Details

Journal
Journal of Materials Research and Technology
Published
2025-07-01
DOI
https://doi.org/10.1016/j.jmrt.2025.06.215
Citations
1
Primary Topic
Microstructure and Mechanical Properties of Steels
Type
article
Field-Weighted Citation Impact
0.71

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article

Revisiting the model for austenite grain size of M50 steel coupled with the carbide dissolution behavior

Guolei Liu, Chengshuai Lei, Leitao Wang, Hongwei Liu et al.
1 citations
Journal of Materials Research and Technology
Microstructure and Mechanical Properties of Steels
0.71
article

Revisiting the model for austenite grain size of M50 steel coupled with the carbide dissolution behavior

Guolei Liu, Chengshuai Lei, Leitao Wang, Hongwei Liu, Paixian Fu, Yanfei Cao, Chen Sun, Kun Xie
article en
1 citations

Abstract

This study investigates the effects of time, temperature, and granular M 2 C carbides on the evolution of the average grain size of M50 steel. Based on classical theoretical models, it develops a predictive model for the average austenite grain size distribution. The research encompasses a temperature range of 1000 to 1200°C and an isothermal holding time range of 15 to 180 minutes, with the objective of examining the grain growth behavior of M50 high-temperature bearing steel under various isothermal conditions. The findings demonstrate that temperature is the predominant factor influencing the distribution of granular M 2 C carbides, which play a pivotal role in the migration of grain boundaries. When the temperature exceeds 1100°C, M 2 C carbides undergo significant dissolution, thereby reducing their pinning effect on the grain boundaries and causing the austenite grains in M50 high-temperature bearing steel to grow rapidly. The temperature range is categorized into low- and high-temperature zones, delineated by the threshold temperature for significant M 2 C carbide dissolution. In the low-temperature zone, the austenite grain size increases at a slow rate over time, while in the high-temperature zone, the grain size increases rapidly. The classical Arrhenius grain size distribution model was employed to re-model the time factor ( n ) with a linear equation and a log-normal function in the low and high-temperature zones, respectively. This was done to establish the relationship between the time factor and holding temperature, thereby enabling the model to dynamically reflect the influence of second-phase solute particles on grain size.

Journal of Materials Research and TechnologyVol. 37
Chinese Academy of Sciences (CN), Northeastern University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, National Key Research and Development Program of China
Openalex Percentile: Top 30%
Microstructure and Mechanical Properties of Steels
0.71
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