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Journal Articles Applied Sciences Year : 2022

Numerical Voids Detection in Bonded Metal/Composite Assemblies Using Acousto-Ultrasonic Method

Abstract

This research focuses on the application of an acousto-ultrasonics (AU) technique, a combination of ultrasonic characterization and acoustic emission, to nondestructively detect defects such as voids in bonded metal/composite assemblies. Computational methods are established to examine the effects of voids on the collected signal. The position of the receiver sensor with respect to the defect is also investigated. Given a specific structure and type of actuation signal, the sensor location and probability of detection can be enhanced by the model developed in this work. The defect detection is optimal provided the receiver sensor is located around the epicenter of the defect. Moreover, this work highlights the importance of the choice of reception sensor.
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Dates and versions

hal-03763019 , version 1 (21-10-2022)

Identifiers

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Jialiang Guo, Aurélien Doitrand, Cheikh Sarr, Sylvain Chataigner, Laurent Gaillet, et al.. Numerical Voids Detection in Bonded Metal/Composite Assemblies Using Acousto-Ultrasonic Method. Applied Sciences, 2022, 12 (9), pp.4153. ⟨10.3390/app12094153⟩. ⟨hal-03763019⟩
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