Journal of Northeastern University Natural Science ›› 2019, Vol. 40 ›› Issue (10): 1442-1447.DOI: 10.12068/j.issn.1005-3026.2019.10.014

• Mechanical Engineering • Previous Articles     Next Articles

Time-Varying Reliability Analysis of Turning Chatter

EN Xi-nong1, ZHANG Yi-min2, HUANG Xian-zhen1   

  1. 1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China; 2. Equipment Reliability Institute, Shenyang University of Chemical Technology, Shenyang 110142, China.
  • Received:2019-01-12 Revised:2019-01-12 Online:2019-10-15 Published:2019-10-10
  • Contact: ZHANG Yi-min
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Abstract: Considering the influence of tool wear on the cutting force coefficient in turning, the Gamma process was used to describe the change of cutting force coefficient with time, and a time-varying reliability model of turning chatter was established. A time-varying reliability analysis method(AK-SSFP)combining the Kriging model of active learning with the subset simulation based on the first passage was proposed. A model of turning vibration stability was established for a lathe. The Monte Carlo method(MCS), the Monte Carlo method based on active learning Kriging(AK-MCS)and the AK-SSFP method were used to calculate the time-varying reliability of turning chatter. The results of the AK-SSFP method are in good agreement with the results of the MCS method, and the AK-SSFP method reduces the number of calls to the real limit function and shortens the computation time. AK-SSFP improves the calculation efficiency while ensuring the accuracy, and solves the calculation problem of time-varying reliability in turning chatter.

Key words: turning process, tool wear, time-varying reliability of turning chatter, Kriging model, subset simulation

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