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Assessment of the Robustness of a Fixtureless Inspection Method for Nonrigid Parts Based on a Verification and Validation Approach

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Karganroudi, S. S. et Cuillière, J.-C. et François, V. et Tahan, S.-A. (2018). Assessment of the Robustness of a Fixtureless Inspection Method for Nonrigid Parts Based on a Verification and Validation Approach. Journal of Verification, Validation and Uncertainty Quantification, 2 (4). ISSN 2377-2158 DOI 10.1115/1.4038917

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Résumé

The increasing practical use of computer-aided inspection (CAI) methods requires assessment of their robustness in different contexts. This can be done by quantitatively comparing estimated CAI results with actual measurements. The objective is comparing the magnitude and dimensions of defects as estimated by CAI with those of the nominal defects. This assessment is referred to as setting up a validation metric. In this work, a new validation metric is proposed in the case of a fixtureless inspection method for nonrigid parts. It is based on using a nonparametric statistical hypothesis test, namely the Kolmogorov–Smirnov (K–S) test. This metric is applied to an automatic fixtureless CAI method for nonrigid parts developed by our team. This fixtureless CAI method is based on calculating and filtering sample points that are used in a finite element nonrigid registration (FENR). Robustness of our CAI method is validated for the assessment of maximum amplitude, area, and distance distribution of defects. Typical parts from the aerospace industry are used for this validation and various levels of synthetic measurement noise are added to the scanned point cloud of these parts to assess the effect of noise on inspection results.

Type de document: Article
Mots-clés libres: fixtureless inspection verification and validation nonrigid parts GNIF principal curvatures von Mises stress hypothesis testing metrology inspection
Date de dépôt: 21 juin 2021 14:13
Dernière modification: 21 juin 2021 14:48
Version du document déposé: Post-print (version corrigée et acceptée)
URI: http://depot-e.uqtr.ca/id/eprint/9627

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