MATEC Web Conf.
Volume 220, 20182018 The 2nd International Conference on Mechanical, System and Control Engineering (ICMSC 2018)
|Number of page(s)||5|
|Section||Mechanical Engineering and Measurement Technology|
|Published online||29 October 2018|
Robust Estimation of Optimal Sample Size for CMM Measurements with Statistical Tolerance Limits
1 Department of Mechanical and Industrial Engineering, NTNU, NO-7491 Trondheim, Norway
2 Department of Mathematics, Baltic State Technical University, St. Petersburg, Russia
The paper proposes the kernel probability density function approach to estimate the distribution of measurements on a part which is measured in a coordinate measuring machine (CMM). The study is based on the experimental data derived from internal cylinder measurements. The distribution free model suggested by Wilks was used as a reference for the selection of the sample size. Three cross sections of a cylinder were measured regarding to this reference. The work defines the minimum required sample size for obtaining at least 0.95 proportion of radius variation for particular studied cylindrical part with 95% confidence level.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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