Automated defect detection for ultrasonic inspection of CFRP aircraft components
| Autor: | Laurent Scheed, Loïc Séguin-Charbonneau, Alexandre Beausoleil, Julien Walter, Benoit Masson, Louis-Daniel Théroux |
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| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Commercial software Computer science business.industry Mechanical Engineering Ultrasonic testing Condensed Matter Physics 01 natural sciences Fully automated Distortion 0103 physical sciences General Materials Science Ultrasonic sensor Computer vision Segmentation Artificial intelligence Projection (set theory) business 010301 acoustics |
| Zdroj: | NDT & E International. 122:102478 |
| ISSN: | 0963-8695 |
| Popis: | An automated task sequence based on the commercial software Ultis® combined with new pre- and post-processing tools was developed to achieve a fully automated analysis of ultrasonic data obtained from large and complex CFRP components. The resulting a90/95 on reference panels containing a variety of artificial defects was 6.8 mm. The new tools include a C-scan projection optimizer that minimizes defects distortion during 3D to 2D transition, an efficient segmentation method to address challenging features (co-cured stringers, ply drop-offs, multiple thickness variations), and a novel defect detection algorithm capable of automatically extracting indications from a collection of A-scans. Results suggest that the method meets the detection requirements while significantly reducing the analysis time. |
| Databáze: | OpenAIRE |
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