结合GUM和MCM的R-Test在机标定不确定度评定方法
The Evaluation Method of Uncertainty of Contact R-Test on-Machine Calibration Combined the GUM and MCM
周永兵 1赖旭伟 1江磊 1丁国富1
作者信息
- 1. 西南交通大学机械工程学院,四川 成都 610031
- 折叠
摘要
R-Test因其高精度、操作便捷等的优点而被广泛应用于五轴数控机床转动轴误差测量,但其测量精度受其标定不确定度的影响.针对原有通用的评定方法不能对接触式R-Test标定不确定度进行准确评定,基于接触式R-Test标定原理,提出一种结合GUM和MCM的在机标定不确定度评定方法,首先分析了不确定度的影响因素并采用变参数方法确定了其灵敏度系数,然后根据测量不确定度导则(GUM)计算传感器位置的标准不确定度分量,最后采用蒙特卡洛方法(MCM)实现对标定方法最终的不确定度评定.通过具体的评定实例,与独立使用GUM的评定结果进行对比,验证了该方法具有更高的评定精度.
Abstract
R-Test is widely used in the measurement of rotation axis error of five axis CNC machine tools owing to the advantages of high precision and high efficiency,but its measurement accuracy is affected by calibration uncertainty.An evaluation method of uncertainty of contact R-Test on-machine calibration combined the GUM and MCM is proposed based on the calibration prin-ciple,considering that the original general evaluation method cannot accurately evaluate the calibration uncertainty of contact R-Test.The influencing factors of the uncertainty are analyzed and the sensitivity coefficient is determined by the variable parame-ter method.Then,the standard uncertainty component of the sensor position is calculated according to the Guide to the Expression Uncertainty in Measurement(GUM).Finally,the Monte Carlo Method(MCM)is adopted to evaluate the final uncertainty of the calibration method.Through a specific evaluation example and comparison with GUM evaluation results,this method is verified to have higher evaluation accuracy.
关键词
接触式R-Test/在机标定/不确定度/不确定度导则/蒙特卡洛Key words
Contact R-Test/Calibration on-Machine/Uncertainty/MCM引用本文复制引用
基金项目
四川省科技计划项目(重点研发项目)(2020YFG0122)
出版年
2024
NETL
NSTL
万方数据