空间统计法在复杂曲面几何偏差分析中的应用  

Application of Spatial Statistical in Geometric Deviation Analysis of Complex-Surface

作　　者：陈岳坪[1] 陆裔昌 CHEN Yue-ping;LU Yi-chang(School of Mechanical and Transportation Engineering,Guangxi University of Science and Technology,Guangxi Liuzhou 545006,China)

机构地区：[1]广西科技大学机械与交通工程学院,广西柳州545006

出　　处：《机械设计与制造》2024年第5期239-243,共5页Machinery Design & Manufacture

基　　金：国家自然科学基金项目(51565006);广西自然科学基金项目(2018GXNSFAA050085)。

摘　　要：通过高精度的三坐标测量机(CMM)对数控加工的复杂曲面进行检测,能得到曲面上的几何偏差分布。复杂曲面的几何偏差本质上属于空间数据,采用空间统计法进行研究分析曲面几何偏差的空间自相关性,并且采用热点分析(Getis-Ord Gi*)方法计算得到几何偏差的热点区域和冷点区域。对数控加工的复杂曲面检测获取529个点和1024个点两组几何偏差数据,结果表明两组数据反映的曲面上的几何偏差空间自相关性都为正相关;划分几何偏差热点和冷点区域的范围与测点数量有关。对数控加工的复杂曲面的几何偏差进行数据分析,将有助于对其加工质量进行分析,从而为进一步提高加工质量提供依据。Machined parts with complex-surfaces can be inspected using a coordinate measuring machine(CMM)with high accu-racy.The geometric deviations and distribution of surfaces can also be obtained.The geometric deviation of complex-surfaces basi-cally belongs to spatial data.In this paper,the spatial autocorrelation of geometric deviation of curved-surface was studied by spa-tial statistics,and hot spots and cold spots of geometric deviation were calculated by Getis-Ord Gi*.Machined part with complex-surface was inspected to obtain two groups of geometric deviation data,529 points and 1024 points.The results showed that the spatial autocorrelation reflected by the two groups of data were positive.In addition,the number of measuring points affected the scope of dividing hot spots and cold spots of geometric deviation.The data analysis of geometric deviation of machined parts with complex surfaces will help for machining quality analysis of these surfaces,and improving the machining quality.

关 键 词：复杂曲面 几何偏差 空间统计分析 热点分析 

分 类 号：TH16[机械工程—机械制造及自动化] TP391[自动化与计算机技术—计算机应用技术]