In modern engineering, electromagnetic induction quenching is usually adopted in improving the fatigue performance of steel engine parts such as crankshafts. In order to provide the theoretical basis for the design of the process, correct evaluation of the strengthening effect of this technique is necessary. In this paper, the research aim is the strengthening effect of this technique on a given type of steel crankshaft. First the magnetic-thermal coupling process was simulated by a 3D finite element model to obtain information on the temperature field during the heating and cooling stages. Then the residual stress field after cooling was simulated based on the same model. At last, the fatigue property of this crankshaft was predicted based on the combination of three parameters: the KBM (Kandil-Brown-Miller) multi-axial fatigue model, the residual stress field and the fatigue strength of the material. The experimental results showed that this method can achieve a much more reasonable prediction than the traditional strengthening factor, and thus can be applied in guiding the design of the quenching process.
机构:
State Grid Sichuan Elect Power Co, Elect Power Res Inst, Chengdu 610041, Peoples R China
Power Syst Wide Area Measurement & Control Sichuan, Chengdu 611731, Peoples R ChinaState Grid Sichuan Elect Power Co, Elect Power Res Inst, Chengdu 610041, Peoples R China
Wu, Jie
Chang, Zhengwei
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State Grid Sichuan Elect Power Co, Elect Power Res Inst, Chengdu 610041, Peoples R China
Power Syst Wide Area Measurement & Control Sichuan, Chengdu 611731, Peoples R ChinaState Grid Sichuan Elect Power Co, Elect Power Res Inst, Chengdu 610041, Peoples R China
Chang, Zhengwei
Zhang, Huajie
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State Grid Sichuan Elect Power Co, Elect Power Res Inst, Chengdu 610041, Peoples R China
Power Syst Wide Area Measurement & Control Sichuan, Chengdu 611731, Peoples R ChinaState Grid Sichuan Elect Power Co, Elect Power Res Inst, Chengdu 610041, Peoples R China
Zhang, Huajie
Zhang, Man
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Univ Elect Sci & Technol China, Sch Mech & Elect Engn, Chengdu 611731, Peoples R ChinaState Grid Sichuan Elect Power Co, Elect Power Res Inst, Chengdu 610041, Peoples R China
Zhang, Man
Peng, Yumin
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Univ Elect Sci & Technol China, Sch Mech & Elect Engn, Chengdu 611731, Peoples R ChinaState Grid Sichuan Elect Power Co, Elect Power Res Inst, Chengdu 610041, Peoples R China
Peng, Yumin
Liao, Jun
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State Grid Sichuan Elect Power Co, Elect Power Res Inst, Chengdu 610041, Peoples R ChinaState Grid Sichuan Elect Power Co, Elect Power Res Inst, Chengdu 610041, Peoples R China
Liao, Jun
Huang, Qi
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机构:
Power Syst Wide Area Measurement & Control Sichuan, Chengdu 611731, Peoples R China
Univ Elect Sci & Technol China, Sch Mech & Elect Engn, Chengdu 611731, Peoples R ChinaState Grid Sichuan Elect Power Co, Elect Power Res Inst, Chengdu 610041, Peoples R China
机构:
School of Mechanical Engineering, Hefei University of TechnologySchool of Mechanical Engineering, Hefei University of Technology
Yuanlong CHEN
Xiaochao ZHOU
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School of Mechanical Engineering, Hefei University of Technology
School of Mechanical and Vehicular Engineering, West Anhui UniversitySchool of Mechanical Engineering, Hefei University of Technology
Xiaochao ZHOU
Peixuan CHEN
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School of Mechanical Engineering, Hefei University of TechnologySchool of Mechanical Engineering, Hefei University of Technology
Peixuan CHEN
Ziquan WANG
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机构:
School of Mechanical Engineering, Hefei University of TechnologySchool of Mechanical Engineering, Hefei University of Technology