Issue |
Int. J. Metrol. Qual. Eng.
Volume 14, 2023
|
|
---|---|---|
Article Number | 4 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/ijmqe/2023003 | |
Published online | 24 May 2023 |
Research article
Estimation of parallelism measurement uncertainty according to the Geometrical Product Specifications standard using coordinate measuring machine
1
Laboratoire de recherche PCMT, Mohammed V University of Rabat, Avenue de l’Armée Royale, 10100 Rabat, Maroc
2
Measurement Control Center MCC, 269, Zone Industrielle SUD-OUEST, 28810 Mohammedia, Maroc
* Corresponding author: nabil_habibi@um5.ac.ma
Received:
8
November
2022
Accepted:
29
March
2023
The dimensional and geometrical specifications control of a mechanical part is commonly done using a coordinate measuring machine. Collecting and processing measurement data through a probe, it allows measuring the conformity of the part according to specific tolerances. An accurate estimation of the uncertainty of measurement is critical; it is within this framework that our study is oriented; we aim to estimate the measurement uncertainty of parallelism error using the Guide to the Expression of Measurement Uncertainty (GUM), then we will proceed to a Monte Carlo simulation to compare the obtained uncertainty, we will then proceed to an inter-laboratory comparison to validate our model. Our contribution is based on a more detailed and precise estimation of the uncertainties of the measurement process taking into accounts the calibration of the machine and the propagation of uncertainties.
Key words: Coordinate measuring machine (CMM) / parallelism error / guide to the expression of uncertainty in measurement (GUM) / Monte Carlo simulation (MCS) / inter-laboratory comparison (ILC) / parallelism uncertainty
© N. Habibi et al., Published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://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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