Automated segmentation of ultrasonic volumetric data of composite materials

Osman A, Hassler U, Kaftandjian V, Hornegger J (2015)

Publication Status: Published

Publication Type: Journal article

Publication year: 2015

Journal

Insight British Institute of Non-destructive Testing

Publisher: British Institute of Non-destructive Testing

Book Volume: 57

Pages Range: 153-160

DOI: 10.1784/insi.2014.57.3.153

Abstract

Manual ultrasonic testing is frequently applied to inspect the quality of carbon fibre-reinforced polymer composites (CFRP), especially in the aerospace industry. There is an immediate requirement to replace manual ultrasonic testing and data evaluation with an automated system. A part of the solution is provided via automated acquisition of ultrasound data. The second part to be solved is the analysis of the enormous amount of data generated. The objective of this contribution is to propose a method that can provide an automated interpretation of data. The proposed method is tested on two CFRP samples with artificial defects of different sizes, depths and shapes.

Authors with CRIS profile

Joachim Hornegger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)

Involved external institutions

Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren (IZFP) / Fraunhofer Institute for Nondestructive Testing DE Germany (DE) Fraunhofer Development Center X-ray Technology (EZRT) DE Germany (DE) Institut National des Sciences Appliquées de Lyon (INSA Lyon) FR France (FR)

How to cite

APA:

Osman, A., Hassler, U., Kaftandjian, V., & Hornegger, J. (2015). Automated segmentation of ultrasonic volumetric data of composite materials. Insight, 57, 153-160. https://doi.org/10.1784/insi.2014.57.3.153

MLA:

Osman, A., et al. "Automated segmentation of ultrasonic volumetric data of composite materials." Insight 57 (2015): 153-160.

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