| Issue |
MATEC Web Conf.
Volume 220, 2018
2018 The 2nd International Conference on Mechanical, System and Control Engineering (ICMSC 2018)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 5 | |
| Section | Mechanical Engineering and Measurement Technology | |
| DOI | https://doi.org/10.1051/matecconf/201822004001 | |
| 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.