| Title |
Multi-dimensional data fusion study for ultrasonic and radiographic non-destructive inspections / |
| Authors |
Jasiūnienė, Elena ; Bhat, Gawher Ahmad ; Yilmaz, Bengisu ; Smagulova, Damira ; Cicėnas, Vaidotas ; Žukauskas, Egidijus |
| Full Text |
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| Is Part of |
e-Journal of nondestructive testing: 13th European conference on non-destructive testing (ECNDT 2023), 3-7 July 2023, Lisbon, Portugal.. Mayen : NDT.net. 2023, vol. 28, spec. iss. 8, p. 1-2.. ISSN 1435-4934 |
| Keywords [eng] |
reliability ; adhesive joints ; radiography, ultrasonic, 3D data fusion |
| Abstract [eng] |
Multi-layered structures of adhesively bonded metals, composites or dissimilar materials are advanced structures which are very attractive for aerospace industry. Adhesive joints are superior joining technology providing homogenous load distribution, resistance to corrosion and ability to join dissimilar materials. However, their usage in aerospace industry is significantly limited due to the lack of reliable non-destructive evaluation methods. In addition, the requirements of accuracy and reliability are always increasing in aerospace. Data fusion of various non-destructive evaluation methods is employed in order to increase the reliability of the testing. The data fusion technique involves processing and analysis of the data from multiple sources as well as their combination what leads to the signal enhancement, decrease of uncertainty, and provides better evaluation results. The objective of the work is to perform multi-dimensional data fusion of the results collected from ultrasonic and radiographic inspections of layered structures in order to increase reliability of the technique. The experimental investigation of adhesively bonded materials containing artificial defects was performed using ultrasonic and radiographic non-destructive testing methods. In addition, the modelling and inspection simulations of the methods were performed for the analysis in order to improve the feature extraction and determine the results of their combination. As a result, amplitude of signal reflection and time of flight are the features which were used for data fusion. The advanced data processing technique was developed for the data fusion. The validation and verification of the technique was performed as well as the defects were sized. As a result, application of multi-dimensional data fusion of different non-destructive methods has provided better evaluation results and increased the reliability of the technique. |
| Published |
Mayen : NDT.net |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2023 |
| CC license |
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