Next Article in Journal
RIS-Assisted Cooperative Time-Division Multiple Access
Next Article in Special Issue
Efficient Near-Infrared Spectrum Detection in Nondestructive Wood Testing via Transfer Network Redesign
Previous Article in Journal
Methodology for Creating a Digital Bathymetric Model Using Neural Networks for Combined Hydroacoustic and Photogrammetric Data in Shallow Water Areas
Previous Article in Special Issue
Characterizing Mechanical Properties of Layered Engineered Wood Using Guided Waves and Genetic Algorithm
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Ultrasonic Features for Evaluation of Adhesive Joints: A Comparative Study of Interface Defects

by
Damira Smagulova
1,2,*,
Bengisu Yilmaz
1 and
Elena Jasiuniene
1,2
1
Ultrasound Research Institute, Kaunas University of Technology, K. Barsausko Str. 59, LT-51423 Kaunas, Lithuania
2
Department of Electronics Engineering, Kaunas University of Technology, Studentu Str. 50, LT-51368 Kaunas, Lithuania
*
Author to whom correspondence should be addressed.
Sensors 2024, 24(1), 176; https://doi.org/10.3390/s24010176
Submission received: 29 November 2023 / Revised: 15 December 2023 / Accepted: 21 December 2023 / Published: 28 December 2023

Abstract

Ultrasonic non-destructive evaluation in pulse-echo mode is used for the inspection of single-lap aluminum adhesive joints, which contain interface defects in bonding area. The aim of the research is to increase the probability of defect detection in addition to ensuring that the defect sizes are accurately estimated. To achieve this, this study explores additional ultrasonic features (not only amplitude) that could provide more accurate information about the quality of the structure and the presence of interface defects. In this work, two types of interface defects, namely inclusions and delaminations, were studied based on the extracted ultrasonic features in order to evaluate the expected feasibility of defect detection and the evaluation of its performance. In addition, an analysis of multiple interface reflections, which have been proved to improve detection in our previous works, was applied along with the extraction of various ultrasonic features, since it can increase the probability of defect detection. The ultrasonic features with the best performance for each defect type were identified and a comparative analysis was carried out, showing that it is more challenging to size inclusion-type defects compared to delaminations. The best performance is observed for the features such as peak-to-peak amplitude, ratio coefficients, absolute energy, absolute time of flight, mean value of the amplitude, standard deviation value, and variation coefficient for both types of defects. The maximum relative error of the defect size compared to the real one for these features is 16.9% for inclusions and 3.6% for delaminations, with minimum errors of 11.4% and 2.2%, respectively. In addition, it was determined that analysis of the data from repetitive reflections from the sample interface, namely, the aluminum-adhesive second and third reflections, that these contribute to an increase in the probability of defect detection.
Keywords: NDT; ultrasonic features; adhesive bonding; interface defects; multiple reflections; detectability NDT; ultrasonic features; adhesive bonding; interface defects; multiple reflections; detectability

Share and Cite

MDPI and ACS Style

Smagulova, D.; Yilmaz, B.; Jasiuniene, E. Ultrasonic Features for Evaluation of Adhesive Joints: A Comparative Study of Interface Defects. Sensors 2024, 24, 176. https://doi.org/10.3390/s24010176

AMA Style

Smagulova D, Yilmaz B, Jasiuniene E. Ultrasonic Features for Evaluation of Adhesive Joints: A Comparative Study of Interface Defects. Sensors. 2024; 24(1):176. https://doi.org/10.3390/s24010176

Chicago/Turabian Style

Smagulova, Damira, Bengisu Yilmaz, and Elena Jasiuniene. 2024. "Ultrasonic Features for Evaluation of Adhesive Joints: A Comparative Study of Interface Defects" Sensors 24, no. 1: 176. https://doi.org/10.3390/s24010176

APA Style

Smagulova, D., Yilmaz, B., & Jasiuniene, E. (2024). Ultrasonic Features for Evaluation of Adhesive Joints: A Comparative Study of Interface Defects. Sensors, 24(1), 176. https://doi.org/10.3390/s24010176

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop