Dynamic Recrystallization Behavior and Processing Map Development of 25CrMo4 Mirror Plate Steel During Hot Deformation
来源期刊：Acta Metallurgica Sinica2017年第9期
论文作者：Peng Zhou Qing-Xian Ma
文章页码：907 - 920
摘 要：The dynamic recrystallization behavior of 25 CrMo4 steel was systematically investigated by compression deformation at different temperatures and strain rates on a Gleeble 1500 thermal mechanical simulation tester. The flow curves under different deformation conditions were obtained, and the effects of deformation temperature and strain rate on the appearance of the flow curves were discussed. Based on the experimental flow curves, the activation energy determined by regression analysis was Q = 337 k J/mol, and the constitutive model was constructed. All the characteristic points of the flow curves were identified from the work hardening rate curves(θ=dó/dεvs ó), which were derived from the flow curves. Then, the kinetics model of dynamic recrystallization was determined by combining the Avrami equation with the stress loss resulted from the dynamic recrystallization. With the aid of the kinetics model, the effect of strain on the efficiency of power dissipation was discussed. Furthermore, the optimum parameters for the forging process were determined based on the processing maps.
Peng Zhou1,2，Qing-Xian Ma1,2
1. Department of Mechanical Engineering, Tsinghua University2. Key Laboratory for Advanced Materials Processing Technology of Ministry of Education, Tsinghua University
摘 要：The dynamic recrystallization behavior of 25 CrMo4 steel was systematically investigated by compression deformation at different temperatures and strain rates on a Gleeble 1500 thermal mechanical simulation tester. The flow curves under different deformation conditions were obtained, and the effects of deformation temperature and strain rate on the appearance of the flow curves were discussed. Based on the experimental flow curves, the activation energy determined by regression analysis was Q = 337 k J/mol, and the constitutive model was constructed. All the characteristic points of the flow curves were identified from the work hardening rate curves(θ=dó/dεvs ó), which were derived from the flow curves. Then, the kinetics model of dynamic recrystallization was determined by combining the Avrami equation with the stress loss resulted from the dynamic recrystallization. With the aid of the kinetics model, the effect of strain on the efficiency of power dissipation was discussed. Furthermore, the optimum parameters for the forging process were determined based on the processing maps.
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