中国机械工程 ›› 2012, Vol. 23 ›› Issue (20): 2401-2404.

• 机械基础工程 • 上一篇    下一篇

坐标测量机测量端面距离的不确定度评定

李红莉;陈晓怀;王宏涛   

  1. 合肥工业大学,合肥,230009
  • 出版日期:2012-10-25 发布日期:2012-11-01
  • 基金资助:
    国家自然科学基金资助项目(51275148)
    National Natural Science Foundation of China(No. 51275148)

Uncertainty Evaluation of CMM for End Distance Measurement

Li Hongli;Chen Xiaohuai;Wang Hongtao   

  1. Hefei University of Technology,Hefei,230009
  • Online:2012-10-25 Published:2012-11-01
  • Supported by:
    National Natural Science Foundation of China(No. 51275148)

摘要:

以坐标测量机端面距离测量为例,全面分析测量全过程中影响测量结果不确定度的主要因素,建立坐标测量机测量端面距离的不确定度数学模型;利用蒙特卡罗数值模拟方法进行仿真,得到被测参数的测量不确定度,给出了完整的测量结果,提升了坐标测量机的应用价值。将蒙特卡罗模拟方法评定结果与测量不确定度表示指南给出方法评定的结果进行比较,可以看出应用蒙特卡罗模拟方法对于评定复杂模型测量不确定度更方便、高效。

关键词: 坐标测量机, 端面距离测量, 蒙特卡罗模拟, 不确定度评定

Abstract:

A complete uncertainty evaluation process of end distance measurement by CMM was presented.To begin with,the major sources of uncertainty,which would influence measurement results,were found out after analyzing,then, a general mathematic model of end distance measurement was established.Furthermore,Monte Carlo method(MCM) was used,and the uncertainty of the measured quantity was obtained.The complete results were given out,so the application value of CMM was enhanced.Moreover,seen from the evaluation example,the results of uncertainty evaluation obtained from MCM method and from the method provided by Guide to the Expression of Uncertainty in Measurement(GUM) method were compared,the comparison result indicates that the mathematic model is feasible,and MCM method to evaluate uncertainty is easy and efficient.

Key words: coordinate measuring machine(CMM), end distance measurement, Monte Carlo simulation, uncertainty evaluation

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