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Novel Processing Algorithm to Improve Detectability of Disbonds in Adhesive Dissimilar Material Joints
Damira Smagulova1, Liudas Mazeika1,2, Elena Jasiuniene1,2
1Ultrasound Research Institute, Kaunas University of Technology, K. Barsausko Str. 59, LT-51423 Kaunas, Lithuania.
Sensors (Basel, Switzerland)
|April 30, 2021
Summary
This study enhances defect detection in bonded dissimilar materials like aluminum and carbon fiber-reinforced plastic (CFRP) using ultrasonic testing. An advanced algorithm improves the identification of disbond-type flaws, crucial for aerospace and automotive applications.
Area of Science:
- Materials Science
- Non-Destructive Testing
- Aerospace Engineering
Background:
- Adhesively bonded dissimilar materials offer advantages in aerospace and automotive sectors, reducing weight and enhancing structural integrity.
- Detecting disbond-type defects in these joints is challenging due to material property variations and complex structures.
- Ultrasonic testing is a key non-destructive method, but defect localization in dissimilar materials requires advanced techniques.
Purpose of the Study:
- To improve the detectability of disbond-type defects in adhesively bonded aluminum and carbon fiber-reinforced plastic (CFRP) joints.
- To develop an advanced post-processing algorithm for ultrasonic inspection of dissimilar material joints.
- To overcome challenges in defect localization caused by differing material properties and multi-layered structures.
Main Methods:
- Immersion pulse-echo ultrasonic technique was employed for inspection.
- An advanced post-processing algorithm was developed, incorporating analysis of multiple reflections.
- Signal processing involved time alignment to mitigate effects like sample curvature, followed by analysis of amplitude changes in specific time intervals.
Main Results:
- The developed algorithm demonstrated significant improvement in disbond detectability.
- Analysis of multiple reflections showed high potential for enhancing defect detection.
- Time alignment effectively eliminated the influence of parameters like sample curvature on signal analysis.
Conclusions:
- The advanced post-processing algorithm significantly enhances the detectability of disbond-type defects in aluminum-CFRP joints.
- Ultrasonic inspection with the new algorithm offers a more reliable method for quality control in dissimilar material bonding.
- This advancement is critical for ensuring the safety and efficiency of components in the aerospace and automotive industries.
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