An improved cellular automaton model of dynamic recrystallization and the constitutive model coupled with dynamic recrystallization kinetics for microalloyed high strength steels

Zhou, Feng; Guo, Jia; Zhao, Yan; Chu, Xiaohong; Liu, Lei; Zhou, Changshi; Zhao, Zhengzhi

doi:10.1016/j.jmrt.2023.12.024

Journal of Materials Research and Technology

2023

DOI: 10.1016/j.jmrt.2023.12.024

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An improved cellular automaton model of dynamic recrystallization and the constitutive model coupled with dynamic recrystallization kinetics for microalloyed high strength steels

Feng Zhou,

Jia Guo,

Yan Zhao

et al.

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2024

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Cited by 2 publications

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Investigation of hot deformation behavior of forged 42CrMoA steel by cellular automata method based on topological deformation technique

Duan,

Chen,

Jia

et al. 2024

J Mater Sci

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Investigation of hot deformation behavior of forged 42CrMoA steel by cellular automata method based on topological deformation technique

Duan,

Chen,

Jia

et al. 2024

J Mater Sci

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A Visualized Microstructure Evolution Model Integrating an Analytical Cutting Model with a Cellular Automaton Method during NiTi Smart Alloy Machining

Wang,

Li,

et al. 2024

Crystals

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In this study, a visualized microstructure evolution model for the primary shear zone during NiTi smart alloy machining was established by integrating an analytical cutting model with a cellular automaton method. Experimental verification was conducted using an invented electromagnet rotation-type quick-stop device. The flow stress curve during the dynamic recrystallization of the NiTi smart alloy, the influence of relevant parameters on the dynamic recrystallization process, and the distribution of dynamic recrystallization in the primary shear zone were studied via the model. The simulation results showed that strain rate and deformation temperature significantly affect the relevant parameters during the dynamic recrystallization process. Three typical shear planes were selected for a comparison between simulation results and experimental results, with a minimum error of 3.76% and a maximum error of 11.26%, demonstrating that the model accurately simulates the microstructure evolution of the NiTi smart alloy during the cutting process. These results contribute theoretical and experimental insights into understanding the cutting mechanism of the NiTi smart alloy.

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An improved cellular automaton model of dynamic recrystallization and the constitutive model coupled with dynamic recrystallization kinetics for microalloyed high strength steels

Cited by 2 publications

References 53 publications

Investigation of hot deformation behavior of forged 42CrMoA steel by cellular automata method based on topological deformation technique

Investigation of hot deformation behavior of forged 42CrMoA steel by cellular automata method based on topological deformation technique

A Visualized Microstructure Evolution Model Integrating an Analytical Cutting Model with a Cellular Automaton Method during NiTi Smart Alloy Machining

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