高强度低合金钢热轧过程中的动态再结晶动力学建模

IF 1.5 4区工程技术 Q3 ENGINEERING, MECHANICAL

Experimental Techniques Pub Date : 2024-10-01 DOI:10.1007/s40799-024-00747-4

B. C. Zhao, Y. P. Zhang, X. Jin, W. J. Zhen

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Modeling of Dynamic Recrystallization Kinetics of a High Strength Low Alloy Steel During Hot Rolling

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Modeling of Dynamic Recrystallization Kinetics of a High Strength Low Alloy Steel During Hot Rolling

A Gleeble thermal–mechanical simulator equipped with an induction heating system was employed to perform single pass compression test to study the dynamic recrystallization behavior of a high-strength low-alloy steel in a wide range of temperatures ( 900℃-1050℃) and strain rates (0.1 s⁻¹-10 s⁻¹). Based on the flow behavior of the tested steel, a new method has been proposed to determine the stress or strain for the onset of dynamic recrystallization. The resultant stresses or strains are compared with the ones determined by using the previous method to confirm the validity of the new method. Moreover, the stress or strain for the onset of dynamic recrystallization is modeled using Zener-Hollomon parameter. With the assistant of the process parameters, temperature, strain and stress, the activation energy has been determined. Finally, the dynamic recrystallization kinetics model is constructed and the validity is tested.

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来源期刊

Experimental Techniques 工程技术-材料科学：表征与测试

CiteScore

3.50

自引率

6.20%

发文量

审稿时长

5.2 months

期刊介绍： Experimental Techniques is a bimonthly interdisciplinary publication of the Society for Experimental Mechanics focusing on the development, application and tutorial of experimental mechanics techniques. The purpose for Experimental Techniques is to promote pedagogical, technical and practical advancements in experimental mechanics while supporting the Society''s mission and commitment to interdisciplinary application, research and development, education, and active promotion of experimental methods to: - Increase the knowledge of physical phenomena - Further the understanding of the behavior of materials, structures, and systems - Provide the necessary physical observations necessary to improve and assess new analytical and computational approaches.