车削颤振时变可靠性分析  

Time-Varying Reliability Analysis of Turning Chatter

作　　者：恩溪弄[1] 张义民[2] 黄贤振[1] EN Xi-nong;ZHANG Yi-min;HUANG Xian-zhen(School of Mechanical Engineering & Automation,Northeastern University,Shenyang 110819,China;Equipment Reliability Institute,Shenyang University of Chemical Technology,Shenyang 110142,China)

机构地区：[1]东北大学机械工程与自动化学院,辽宁沈阳110819 [2]沈阳化工大学装备可靠性研究所,辽宁沈阳110142

出　　处：《东北大学学报（自然科学版）》2019年第10期1442-1447,共6页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金资助项目(51575094,U1708254)

摘　　要：考虑车削加工过程中刀具磨损对切削力系数的影响,用Gamma过程描述了切削力系数随时间的变化过程,并建立了车削颤振时变可靠性模型.提出了主动学习的Kriging模型与基于首次超越的子集模拟相结合的时变可靠性分析方法(AK-SSFP).对某一车床建立车削颤振稳定性模型,分别采用Monte Carlo方法(MCS)、基于主动学习Kriging的Monte Carlo方法(AK-MCS)和AK-SSFP方法计算车削颤振时变可靠度.AK-SSFP方法的结果与MCS方法的结果一致性很好,且AK-SSFP方法减少了真实极限函数的调用次数并缩短了运算时间.AK-SSFP在保证精度的同时提高了计算效率,解决了车削加工系统颤振时变可靠度的计算问题.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.

关 键 词：车削加工 刀具磨损 颤振时变可靠度 KRIGING模型 子集模拟 

分 类 号：TB114TH113[理学—概率论与数理统计]