Non-Destructive Evaluation of the Quality of Adhesive Joints Using Ultrasound, X-ray, and Feature-Based Data Fusion

被引：9

作者：

Jasiuniene, Elena ^{[1
,2
]}

Yilmaz, Bengisu ^{[1
,3
]}

Smagulova, Damira ^{[1
,2
]}

Bhat, Gawher Ahmad ^{[1
]}

Cicenas, Vaidotas ^{[1
]}

Zukauskas, Egidijus ^{[1
]}

Mazeika, Liudas ^{[1
,2
]}

机构：

[1] Kaunas Univ Technol, Ultrasound Res Inst, K Barsausko Str 59, LT-51423 Kaunas, Lithuania

[2] Kaunas Univ Technol, Dept Elect Engn, Studentu St 50, LT-51368 Kaunas, Lithuania

[3] Bundesanstalt Materialforschung und prufung BAM, Acoust & Electromagnet Methods Div, D-12205 Berlin, Germany

来源：

APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 24期

关键词：

data fusion; ultrasonics; radiography; adhesive joints; adhesive bond; non-destructive evaluation; interface defects; multiple reflections; signal modeling; IMAGE FUSION; COMPOSITES; DEFECTS;

D O I：

10.3390/app122412930

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

The aim of this work is to achieve reliable nondestructive evaluation (NDE) of adhesively bonded aerospace components by developing novel multidimensional data fusion techniques, which would combine the information obtained by ultrasonic and X-ray NDE methods. Separately, both NDE techniques have their advantages and limitations. The integration of data obtained from pulse echo immersion ultrasound testing and radiography holds immense potential to help improve the reliability of non-destructive evaluation. In this study, distinctive features obtained from single techniques, traditional ultrasonic pulse echo testing, and radiography, as well as fused images, were investigated and the suitability of these distinctive features and fusion techniques for improving the probability of defect detection was evaluated. For this purpose, aluminum single lap joints with brass inclusions were analyzed using ultrasound pulse echo and radiography techniques. The distinctive features were extracted from the data obtained, and images of features obtained by both techniques were fused together. Different combinations of features and fusion algorithms were investigated, considering the desire to automate data evaluation in the future.

引用

页数：20

共 44 条

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