Skip to Main content Skip to Navigation
Journal articles

A knowledge database of qualified digitizing systems for the selection of the best system according to the application

Abstract : Digitizing systems are widely used in industry for applications such as Reverse Engineering or inspection. Given the diversity of solutions, the selection of the most appropriate systems for an application has become a challenging task. To be efficient, system selection must rely on a knowledge base of the digitizing system performance with regard to the given application. Within this context, this paper aims at presenting how a knowledge database of qualified digitizing systems can be established according to ability and quality criteria. The best system is afterwards obtained by optimizing a cost function built as the weighting sum of the criteria, weighting depending on the considered application.
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01255312
Contributor : Yann Quinsat Connect in order to contact the contributor
Submitted on : Friday, January 22, 2016 - 7:32:12 AM
Last modification on : Monday, July 5, 2021 - 9:48:38 AM
Long-term archiving on: : Saturday, April 23, 2016 - 10:22:07 AM

Files

paper_lartigue_for_cirp_hal.pd...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01255312, version 1

Citation

C Mehdi-Souzani, Yann Quinsat, C Lartigue, P Bourdet. A knowledge database of qualified digitizing systems for the selection of the best system according to the application. CIRP Journal of Manufacturing Science and Technology, Elsevier, 2016. ⟨hal-01255312⟩

Share

Metrics

Les métriques sont temporairement indisponibles