Chen Xuewen, Liu Mingyang, Yang Yisi, Si Yahui, Zhou Zheng, Zhou Xudong, Jung Dongwon
School of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471023, China.
Department of Mechanical Engineering, Jeju National University, 102 Daehak-Ro, Jeju-si 63243, Republic of Korea.
Materials (Basel). 2025 Jan 14;18(2):342. doi: 10.3390/ma18020342.
The microstructure of metallic materials plays a crucial role in determining their performance. In order to accurately predict the dynamic recrystallization (DRX) behavior and microstructural evolution during the hot deformation process of GCr15 bearing steel, a microstructural evolution model for the DRX process of GCr15 steel was established by combining the level set (LS) method with the Yoshie-Laasraoui-Jonas dislocation dynamics model. Firstly, hot compression tests were conducted on GCr15 steel using the Gleeble-1500D thermal simulator, and the hardening coefficient and dynamic recovery coefficient of the Yoshie-Laasraoui-Jonas model were derived from the experimental flow stress data. The effects of temperature, strain, and strain rate on DRX behavior and grain size during the hot working process of GCr15 steel were investigated. Through secondary development of the software, the established microstructural evolution model was integrated into the DIGIMU software. Metallographic images were imported in situ to reconstruct its initial microstructure, enabling GCr15 steel DRX microstructure finite element simulation of the hot compression process. The predicted mean grain size and flow stress demonstrated a strong correlation and excellent agreement with the experimental results. The results demonstrate that the established DRX model effectively predicts the evolution of the DRX fraction and average grain size during the hot forging process and reliably forecasts DRX behavior.