Automated segmentation of ultrasonic volumetric data of composite materials

Journal article


Publication Details

Author(s): Osman A, Hassler U, Kaftandjian V, Hornegger J
Journal: Insight
Publisher: British Institute of Non-destructive Testing
Publication year: 2015
Volume: 57
Pages range: 153-160
ISSN: 1354-2575


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.



FAU Authors / FAU Editors

Hornegger, Joachim Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)


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://dx.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.

BibTeX: 

Last updated on 2018-19-04 at 03:15