多维变量对机械加工误差影响系统分析  

Systematic Analysis of Influence of Multidimensional Variable on Machining Error

作　　者：赵华伟 刘燕军 李哲 李晨蕊 Zhao Huawei;Liu Yanjun;Li Zhe;Li Chenrui(Equipment Research Institute of Inner Mongolia North Heavy Industry Group Co.,Ltd.,Baotou 014000,China)

机构地区：[1]内蒙古北方重工业集团有限公司装备研究所,内蒙古包头014000

出　　处：《兵工自动化》2023年第8期15-19,共5页Ordnance Industry Automation

摘　　要：针对加工零件传统单一变量对加工误差统计分析,不能解决多关联变量之间的关系对加工误差的影响问题,提出一种多维随机变量的机械加工误差分析系统。通过分析加工零件的关联尺寸,用Matlab建立加工误差的分布规律图,分析产生有效加工误差的概率;用统计产品和服务解决方案(statistical product and service solution,SPSS)对测量出的关联尺寸组进行Q型聚类分析,分析加工误差易发生段;用3维点图法分析关联尺寸产生的系统误差和随机误差;建立环形轴类零件的加工误差系统分析模型。结果表明,该分析系统能提高机械加工误差分析的精确度。Aiming at the problem that the traditional statistical analysis of machining error based on single variable can not solve the influence of multiple associated variables on machining error,a machining error analysis system based on multi-dimensional random variables is proposed.The probability of effective machining error is analyzed by analyzing the correlation dimension of machining parts and establishing the distribution law of machining error with Matlab.The statistical product and service solution(SPSS)is used to carry out Q-type clustering analysis on the measured correlation dimension groups to analyze the sections where processing errors are prone to occur,and the three-dimensional point diagram method is used to analyze the systematic errors and random errors caused by the correlation dimensions;A systematic analysis model of the machining error of ring shaft parts is established.The results show that the analysis system can improve the accuracy of machining error analysis.

关 键 词：加工误差 关联变量 Q型聚类分析 3维点图法 系统误差 随机误差 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]