An Improved Measurement Uncertainty Calculation Method of Profile Error for Sculptured Surfaces

被引:0
|
作者
Chenhui Liu [1 ,2 ]
Zhanjie Song [2 ]
Yicun Sang [1 ]
Gaiyun He [1 ]
机构
[1] Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University
[2] School of Mathematics,Tianjin University
基金
中国国家自然科学基金;
关键词
Second-order GUMM; Adaptive Monte Carlo method; Uncertainty; Converge factor;
D O I
暂无
中图分类号
TG83 [形位偏差测量及其量仪];
学科分类号
0805 ;
摘要
The current researches mainly adopt "Guide to the expression of uncertainty in measurement(GUM)" to calculate the profile error. However, GUM can only be applied in the linear models. The standard GUM is not appropriate to calculate the uncertainty of profile error because the mathematical model of profile error is strongly non-linear. An improved second-order GUM method(GUMM) is proposed to calculate the uncertainty. At the same time, the uncertainties in different coordinate axes directions are calculated as the measuring points uncertainties. In addition, the correlations between variables could not be ignored while calculating the uncertainty. A k-factor conversion method is proposed to calculate the converge factor due to the unknown and asymmetrical distribution of the output quantity. Subsequently, the adaptive Monte Carlo method(AMCM) is used to evaluate whether the second-order GUMM is better. Two practical examples are listed and the conclusion is drawn by comparing and discussing the second-order GUMM and AMCM. The results show that the difference between the improved second-order GUM and the AMCM is smaller than the difference between the standard GUM and the AMCM. The improved second-order GUMM is more precise in consideration of the nonlinear mathematical model of profile error.
引用
收藏
页码:164 / 173
页数:10
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