Journal of Northeastern University(Natural Science) ›› 2022, Vol. 43 ›› Issue (5): 696-702.DOI: 10.12068/j.issn.1005-3026.2022.05.013

• Mechanical Engineering • Previous Articles     Next Articles

Optimization of Turning Parameters of GH4169 Based on Reliability

HUANG Xian-zhen, SUN Liang-shi, DING Peng-fei, ZHU Hui-bin   

  1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China.
  • Revised:2021-07-12 Accepted:2021-07-12 Published:2022-06-20
  • Contact: HUANG Xian-zhen
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Abstract: It is critical to optimize the cutting parameters in order to increase the machining efficiency as much as possible while ensuring tool life. Therefore, a model of tool wear in the turning process is established to predict tool wear at any time under various cutting conditions. Thereby, a model of tool life is derived. Considering the influence of uncertain parameters on turning processing, a reliability-based optimization model of turning is established, and the optimization model is solved by the sequential optimization and reliability assessment(SORA)method to obtain the optimal cutting parameters. Finally, an example verifies the advantage and feasibility of this method in the parameter optimization of turning nickel-based superalloy GH4169.

Key words: turning process; GH4169; tool wear; sequential optimization; reliability assessment(SORA); reliability-based optimization

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