Int. J. Metrol. Qual. Eng.
Volume 6, Number 1, 2015
|Number of page(s)
|23 February 2015
Influence of sample size on flatness estimation and uncertainty in three-dimensional measurement
Laboratoire de recherche (LaMIPI), Université Mohammed V- Rabat
(UM5R), ENSET de Rabat, Avenue de
l’Armée Royale, Madinat Al Irfane, 10100
2 Département Technologie des Polymères et Composites et Ingénierie Mécanique, Ecole des Mines de Douai, 764 Boulevard Lahure, 59500 Douai, France
Accepted: 12 January 2015
To respond correctly to its function in a mechanism, a mechanical part should have a good dimensional and geometric quality. In three-dimensional measurement, the preferred tool of control is currently the coordinate measuring machine CMM, the evaluation of flatness defect of a part is a very common task in this area, and the decisions made based on the measurement result may be outliers when the uncertainty of measurement result is not taken into account. The evaluation of uncertainty is a delicate task in this area given the diversity of parameters that relies in. The number of points collected on the surface is one of the influencing factors. The choice of this parameter is left to the operator, and the value taken by this parameter affects both the estimated flatness and the associated uncertainty. In this paper we present the effect of a number of points collected during the inspection of a surface on the estimated flatness and the associated uncertainty. A new identification method is presented here. The flatness deviation uncertainty is quantified by applying the law of propagation of uncertainties. The treated data sets are the result of experimental measurements performed on a CMM by measuring an industrial part.
Key words: CMM uncertainties / flatness and uncertainty / effect of sampling flatness
© EDP Sciences 2015
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.