Uncertainty Evaluation in Distance Measurement by CMM Based on Monte Carlo Method

Hong Li Li; Xiao Huai Chen; Hong Tao Wang

doi:10.4028/www.scientific.net/AMR.684.429

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 684Uncertainty Evaluation in Distance Measurement by...

Uncertainty Evaluation in Distance Measurement by CMM Based on Monte Carlo Method

Abstract:

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

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Periodical:

Advanced Materials Research (Volume 684)

Pages:

429-433

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.684.429

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Online since:

April 2013

Authors:

Hong Li Li, Xiao Huai Chen, Hong Tao Wang

Keywords:

Coordinate Measuring Machine (CMM), End Distance Measurement, Monte-Carlo Simulation, Uncertainty Evaluation

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