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

Author:

Wang Jiaqi12,Li Ming123ORCID,Li Qingguang12,Pan Xianchao12,Wang Zixuan13ORCID,Jia Jing12,Liu Renti4,Zhou Yunguang12,Ma Lianjie12,Yu Tianbiao13

Affiliation:

1. School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China

2. School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China

3. Liaoning Provincial Key Laboratory of Intelligent Design and Manufacturing Technology for Large Equipment, Northeastern University, Shenyang 110819, China

4. Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China

Abstract

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.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Science and Technology Project of Hebei Education Department

Fundamental Research Funds for the Central Universities

Hebei Province Graduate Innovation Ability Training Funding Project

Liaoning Provincial Natural Science Foundation of China

Publisher

MDPI AG

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