CMM形状测量任务的不确定度分析与评定

程银宝,陈晓怀,王中宇,王汉斌,李红莉,李亚茹

计量学报 ›› 2020, Vol. 41 ›› Issue (2) : 134-138.

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计量学报 ›› 2020, Vol. 41 ›› Issue (2) : 134-138. DOI: 10.3969/j.issn.1000-1158.2020.02.02
几何量计量

CMM形状测量任务的不确定度分析与评定

  • 程银宝1,2,陈晓怀3,王中宇2,王汉斌4,李红莉3,李亚茹2
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Uncertainty Analysis and Evaluation of Form Measurement Task for CMM

  • CHENG Yin-bao1,2,CHEN Xiao-huai3,WANG Zhong-yu2,WANG Han-bin4,LI Hong-li3,LI Ya-ru2
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摘要

研究了坐标测量机(CMM)形状测量任务的不确定度评定问题,实现了CMM形状测量的不确定度快速、可靠地评定。给出了测量不确定度评定与表示指南(GUM)和蒙特卡洛随机抽样两种不确定度合成方法,平面度测量实验验证了不确定度评定方法的可行性,实验结果表明:GUM确定的不确定度精度意义不可靠,扩展不确定度相对于实际情况扩大了11.1%; 解决CMM形状测量任务的不确定度评定问题,具有较强的典型性和代表性,可有效地应用于解决其他精密仪器的不确定度评定问题。

Abstract

The coordinate measuring machine (CMM) uncertainty for evaluating the form errors-oriented measurement tasks has been systematically studied, thus the rapid and reliable evaluation of the CMM measurement uncertainty can be realized.Two uncertainty combined methods based on Guide to the Expression of Uncertainty in Measurement (GUM) and Monte Carlo method are provided.The feasibility of the evaluation method has been verified by measurement example of flatness.The experimental result shows that precision significance of uncertainty determined by GUM is unreliable, the expanded uncertainty increased by 11.1% compared with actual situation.To systematically solve the problem of the CMM uncertainty for evaluating the measurement tasks targeting form errors is typical and representative, which can be effectively applied to solve the uncertainty evaluation problems of other precision instruments.

关键词

计量学 / 形状测量 / 坐标测量机 / 不确定度分析与评定

Key words

metrology / form measurement / CMM / uncertainty analysis and evaluation

引用本文

导出引用
程银宝,陈晓怀,王中宇,王汉斌,李红莉,李亚茹. CMM形状测量任务的不确定度分析与评定[J]. 计量学报. 2020, 41(2): 134-138 https://doi.org/10.3969/j.issn.1000-1158.2020.02.02
CHENG Yin-bao,CHEN Xiao-huai,WANG Zhong-yu,WANG Han-bin,LI Hong-li,LI Ya-ru. Uncertainty Analysis and Evaluation of Form Measurement Task for CMM[J]. Acta Metrologica Sinica. 2020, 41(2): 134-138 https://doi.org/10.3969/j.issn.1000-1158.2020.02.02
中图分类号: TB92   

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基金

国家重点研发计划(2016YFF0203801);国家自然科学基金(51275148); 福建省公益类科研院所专项(2018R1033-6)

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