Influence of sample size on flatness estimation and uncertainty in three-dimensional measurement
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 def...
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doaj-fb5ba89f774d484a8d79a41f9e8a21af2021-09-02T21:30:49ZengEDP SciencesInternational Journal of Metrology and Quality Engineering2107-68392107-68472015-01-016110210.1051/ijmqe/2015002ijmqe150002Influence of sample size on flatness estimation and uncertainty in three-dimensional measurementJalid A.0Hariri S.1Laghzale N. E.2Laboratoire de recherche (LaMIPI), Université Mohammed V- Rabat (UM5R), ENSET de RabatDépartement Technologie des Polymères et Composites et Ingénierie Mécanique, Ecole des Mines de DouaiLaboratoire de recherche (LaMIPI), Université Mohammed V- Rabat (UM5R), ENSET de RabatTo 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.https://doi.org/10.1051/ijmqe/2015002CMM uncertaintiesflatness and uncertaintyeffect of sampling flatness |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jalid A. Hariri S. Laghzale N. E. |
spellingShingle |
Jalid A. Hariri S. Laghzale N. E. Influence of sample size on flatness estimation and uncertainty in three-dimensional measurement International Journal of Metrology and Quality Engineering CMM uncertainties flatness and uncertainty effect of sampling flatness |
author_facet |
Jalid A. Hariri S. Laghzale N. E. |
author_sort |
Jalid A. |
title |
Influence of sample size on flatness estimation and uncertainty
in three-dimensional measurement |
title_short |
Influence of sample size on flatness estimation and uncertainty
in three-dimensional measurement |
title_full |
Influence of sample size on flatness estimation and uncertainty
in three-dimensional measurement |
title_fullStr |
Influence of sample size on flatness estimation and uncertainty
in three-dimensional measurement |
title_full_unstemmed |
Influence of sample size on flatness estimation and uncertainty
in three-dimensional measurement |
title_sort |
influence of sample size on flatness estimation and uncertainty
in three-dimensional measurement |
publisher |
EDP Sciences |
series |
International Journal of Metrology and Quality Engineering |
issn |
2107-6839 2107-6847 |
publishDate |
2015-01-01 |
description |
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. |
topic |
CMM uncertainties flatness and uncertainty effect of sampling flatness |
url |
https://doi.org/10.1051/ijmqe/2015002 |
work_keys_str_mv |
AT jalida influenceofsamplesizeonflatnessestimationanduncertaintyinthreedimensionalmeasurement AT hariris influenceofsamplesizeonflatnessestimationanduncertaintyinthreedimensionalmeasurement AT laghzalene influenceofsamplesizeonflatnessestimationanduncertaintyinthreedimensionalmeasurement |
_version_ |
1717819805397942272 |