Issue |
2017
18th International Congress of Metrology
|
|
---|---|---|
Article Number | 01004 | |
Number of page(s) | 9 | |
Section | Metrology Custom-Made Issues / Metrologie : Des Enjeux Sur-Mesure | |
DOI | https://doi.org/10.1051/metrology/201701004 | |
Published online | 18 September 2017 |
When 1/10th of a millimeter weighs 400 T
1 AREVA NP, Technical Guarantor, Expert Studies Department, 71100 Chalon-Sur-Saône, France
2 AREVA NP, Technical Expert, Industrial Measurement Studies Department, 71100 Chalon-Sur-Saône, France
* Corresponding author: jean-marie.carrez@areva.com
** Corresponding author: geoffroy.emain@areva.com
Most of the examples encountered in dimensional metrology generally concern a single measurand and focus on the measurement system and its direct environment (Ishikawa diagram). The “analytical” application of the methodology presented in the Guide to the expression of uncertainty in measurement [1] appears, for example, unsuited to our operations because of the complexity of expression of the mathematical model. For the same reason, the Monte-Carlo method also seems to us to be complex in implementation and for the immediate term remains difficult to apply to our industrial process as a whole. Moreover, our main objective is not to determine dimensional conformity, but to guarantee that a process is operating which meets all the requirements, whether regulatory, contractual or technical. The aim of this presentation is to set out, with support from our experience feedback, how AREVA NP chose to treat the uncertainties of an industrial process by optimally combining the theoretical, empirical and practical approaches.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.