摘要
数控机床是装备制造业的关键装备,主轴系统作为数控车床的关键子系统,其可靠性直接影响数控机床的稳定性。传统数控机床主轴系统可靠性建模大多基于数据,所获得的数据较少或无法获得数据时,难以准确进行可靠性建模。对此,将改进一次二阶矩法与克里金重要度抽样方法相结合,提出考虑主轴轴承动态磨损过程的主轴时变可靠性分析方法。这一方法基于改进一次二阶矩迭代求解状态方程,生成重要度抽样样本,建立克里金模型,进行克里金预测及结构失效概率评估,进而完成数控机床主轴系统的可靠性分析。通过实例验证了所提出的数控机床主轴系统可靠性分析方法的可行性和有效性。
The CNC machine tool is the key equipment of the equipment manufacturing industry.As thekey subsystem of the CNC lathe,the reliability of the spindle system directly affects the stability of the CNCmachine tool.The reliability modeling of the spindle system of the traditional CNC machine tool is mostly builton data,,and it is difficult to accurately model the reliability when less data or no data is obtained.In thisregard,the improved first order second moment method was combined with the Kriging importance samplingmethod,and a spindle time-varying reliability analysis method considering the dynamic wear process of thespindle bearing was proposed.This method is based on an improved first order second moment iteration to solvethe state equation,generate importance sampling specimen,establish the Kriging model,perform Kriging.prediction and structural failure probability assessment,and complete the reliability analysis of the spindlesystem of the CNC machine tool.The feasibility and effectiveness of the proposed reliability analysis of thespindle system of the CNC machine tool were verified by the example.
出处
《机械制造》
2021年第7期11-15,24,共6页
Machinery
基金
国家重大科技专项(编号:2018ZX04011001)。
关键词
数控机床
主轴
可靠性分析
CNC
Machine
Tool
Spindle
Reliability
Analyses
作者简介
金城(1984-),男,博士,主要研究方向为装备性能评估。
