| Title |
The evaluation of bonding quality through multidimensional data fusion |
| Authors |
Jasiūnienė, Elena ; Cicėnas, Vaidotas ; Bhat, Gawher Ahmad |
| Full Text |
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| Is Part of |
e-Journal of nondestructive testing: 8th Pan American conference for nondestructive testing 2025, (PANNDT 2025), 9-12.June, 2025 Niagara Falls, Canada.. Mayen : NDT.net. 2025, vol. 30, iss. 7, spec. iss., p. 1-2.. ISSN 1435-4934 |
| Keywords [eng] |
data fusion ; nondestructive evaluation ; Ultrasonic testing ; Radiographic Inspection ; Adhesive bonded structures |
| Abstract [eng] |
Adhesive bonded structures have attracted significant interest from various industries including those involved in transportation such as the aerospace, rail, marine, and automotive. due to their advantageous properties. Adhesives possess the capability to join complex structures and dissimilar materials, distribute load homogenously by offering high strength-to-weight ratio. However, the use of adhesive bonds is constrained by the absence of reliable techniques for their non-destructive evaluation. The aim of this study is to enhance the reliability of nondestructive testing of adhesive joints by means of the multidimensional data fusion of the ultrasonic and radiographic data to broaden their application areas. Data fusion can be defined as a process of combining data from various sources to generate more complete and accurate data thereby improving accuracy. In this study adhesive joints featuring various types of bonding defects were investigated employing radiography and conventional pulse-echo ultrasonic techniques. Subsequently, a data fusion was implemented integrating the data acquired by different techniques. The investigation also involved the development and refinement of advanced data processing techniques, particularly designed for data fusion applications. The work highlights the necessity of a comprehensive non-destructive evaluation to assess the quality of the adhesive bonds. Consequently, the application of multi-dimensional data fusion of radiographic and ultrasonic data has yielded more comprehensive results. |
| Published |
Mayen : NDT.net |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2025 |
| CC license |
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