Reproducibility experimentation among computer-aided inspection software from a single point cloud

Jbira, Ibtissem, Tahan, Antoine, Bonsaint, Serge, Mahjoub, Mohamed Ali et Louhichi, Borhen. 2019. « Reproducibility experimentation among computer-aided inspection software from a single point cloud ». Journal of Control Science and Engineering, vol. 2019.
Compte des citations dans Scopus : 1.

Prévisualisation

PDF Tahan A 2019 19776.pdf - Version publiée Licence d'utilisation : Creative Commons CC BY. Télécharger (2MB) | Prévisualisation

Résumé

The ISO GPS and ASME Y14.5 standards have defined dimensional and geometrical tolerance as a way to express the limits of surface part variations with respect to nominal model surfaces. A quality-control process using a measuring device verifies the conformity of the parts to these tolerances. To convert the control measurement points as captured by a device such as a coordinate measurement machine (CMM) or noncontact scan, it is necessary to select the appropriate algorithm (e.g., least square size and maximum inscribed size) and to include the working hypotheses (e.g., treatment of outliers, noise filtering, and missing data). This means that the operator conducting the analysis must decide on which algorithm to use. Through a literature review of current software programs and algorithms, many inaccuracies were found. A benchmark was therefore developed to compare the algorithm performance of three computer-aided inspection (CAI) software programs. From the same point cloud and on the same specifications (requirements and tolerances), three CAI options have been tested with several dimensional and geometrical features.

Type de document:	Article publié dans une revue, révisé par les pairs
Professeur:	Professeur Tahan, Antoine
Affiliation:	Génie mécanique
Date de dépôt:	14 nov. 2019 20:22
Dernière modification:	13 avr. 2023 16:08
URI:	https://espace2.etsmtl.ca/id/eprint/19776

Actions (Authentification requise)

Dernière vérification avant le dépôt