光学精密工程2024，Vol.32Issue(7)：1011-1022,12.DOI:10.37188/OPE.20243207.1011
滚珠丝杠滚道法向截面测量系统
Measuring system for normal section parameters of ball screw raceway
摘要
Abstract
To achieve swift,precise,and non-destructive detection of ball screw raceway's normal sec-tion,a measuring system based on an optical micrometer is developed.Initially,the detection device is crafted following the principle of measuring the ball screw raceway's normal section.The original data pro-cessing algorithm for the raceway's normal section is then refined,introducing the angle division arc meth-od and arc data homogenization technique.Subsequently,potential errors from sensor installation,the hori-zontal moving platform's straightness,and sensor inaccuracies within the detection device are examined and compensated for.The detection system's accuracy,comprising the device and the enhanced algorithm,is validated through experimental tests.These tests reveal that with the algorithm's optimization,the nor-mal section parameters of the raceway measured by the system show improved convergence as the divided arc angle increases.Post-optimization,the maximum measured values for arc radius and contact angle,along with the manufacturer's error margins,are 3.6 μm and 19'31″,respectively,marking enhancement rates of 64.36%and 53.46%over pre-optimization.Furthermore,the maximum standard deviation values for the measured arc radius and contact angle are 1.56 μm and 2'41″,respectively,with enhancement rates of 22.77%and 56.67%.Class A uncertainty for measured arc radius and contact angle dropped to 0.63 μm and 1'6″,respectively,a reduction of 56%and 70%compared to before the algorithm's optimization.The detection system's accuracy and repeatability for the raceway's normal cross-section meet the measurement standards.关键词
光学测微计/滚珠丝杠/滚道法向截面/角度划分圆弧方法/圆弧数据均匀化方法Key words
optical micrometer/ball screw/raceway normal section/angle division arc method/arc data homogenization method分类
计算机与自动化引用本文复制引用
吴剑,欧屹,周长光,冯虎田,钱超群..滚珠丝杠滚道法向截面测量系统[J].光学精密工程,2024,32(7):1011-1022,12.基金项目
工业和信息化部高质量发展专项(No.TC210H038) （No.TC210H038）
