Mathematical model of dynamic recrystallization of austenite in low carbon steel under ESP process

ZHOU Xiaoguang1,WANG Duo1,MA Xin1,CAO Guangming1,LIU Zicheng2,LIU Zhenyu1

Journal of Iron and Steel Research ›› 2024, Vol. 36 ›› Issue (1) : 76-84.

Journal of Iron and Steel Research ›› 2024, Vol. 36 ›› Issue (1) : 76-84. DOI: 10.13228/j.boyuan.issn1001-0963.20230099
Materials Research

Mathematical model of dynamic recrystallization of austenite in low carbon steel under ESP process

  • ZHOU Xiaoguang,WANG Duo,MA Xin,CAO Guangming,LIU Zicheng,LIU Zhenyu
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Abstract

Abstract: The dynamic recrystallization behavior of low carbon steel under ESP process was simulated by using MMS-200 thermal simulation tester. Considering the influence of austenite grain size change before deformation, the dynamic recrystallization mathematical model was established. The results show that: the initial microstructure under ESP process condition can be simulated by austenitizing at 1350℃ and holding for 300s, and the larger the initial austenite grain size, the more difficult dynamic recrystallization is to occur; the dynamic recrystallization activation energy increases with the increase of the initial austenite grain size, and the initial austenite grain size has no effect on the relationship coefficient s between peak strain and critical strain; considering the effect of initial austenite grain size, dynamic recrystallization activation energy model, peak strain model and dynamic recrystallization dynamic model of experimental steel were established. The research results lay a theoretical foundation for developing high quality thingage low carbon steel and improving the prediction model precision of microstructure properties under ESP process conditions.

Key words

Key words:endless rolling / austenite / grain size / dynamic recrystallization / mathematical model

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ZHOU Xiaoguang1,WANG Duo1,MA Xin1,CAO Guangming1,LIU Zicheng2,LIU Zhenyu1. Mathematical model of dynamic recrystallization of austenite in low carbon steel under ESP process[J]. Journal of Iron and Steel Research, 2024, 36(1): 76-84 https://doi.org/10.13228/j.boyuan.issn1001-0963.20230099

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