| Title: |
Detection of disbonds in adhesively bonded aluminum plates using laser-generated shear acoustic waves |
| Authors: |
Patrycja Pyzik; Aleksandra Ziaja-Sujdak; Jakub Spytek; Matthew O’Donnell; Ivan Pelivanov; Lukasz Ambrozinski |
| Source: |
Photoacoustics, Vol 21, Iss , Pp 100226- (2021) |
| Publisher Information: |
Elsevier |
| Publication Year: |
2021 |
| Collection: |
Directory of Open Access Journals: DOAJ Articles |
| Subject Terms: |
Laser ultrasound; Shear waves; Adhesive bonds; Inverse filter; Physics; QC1-999; Acoustics. Sound; QC221-246; Optics. Light; QC350-467 |
| Description: |
Adhesively bonded metals are increasingly used in many industries. Inspecting these parts remains challenging for modern non-destructive testing techniques. Laser ultrasound (LU) has shown great potential in high-resolution imaging of carbon-reinforced composites. For metals, excitation of longitudinal waves is inefficient without surface ablation. However, shear waves can be efficiently generated in the thermo-elastic regime and used to image defects in metallic structures. Here we present a compact LU system consisting of a high repetition rate diode-pumped laser to excite shear waves and noncontact detection with a highly sensitive fiber optic Sagnac interferometer to inspect adhesively bonded aluminum plates. Multiphysics finite difference simulations are performed to optimize the measurement configuration. Damage detection is performed for a structure consisting of three aluminum plates bonded with an epoxy film. Defects are simulated by a thin Teflon film. It is shown that the proposed technique can efficiently localize defects in both adhesion layers. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S2213597920300653; https://doaj.org/toc/2213-5979; https://doaj.org/article/43048ed2871847d5947779e7c233c1aa |
| DOI: |
10.1016/j.pacs.2020.100226 |
| Availability: |
https://doi.org/10.1016/j.pacs.2020.100226; https://doaj.org/article/43048ed2871847d5947779e7c233c1aa |
| Accession Number: |
edsbas.51234350 |
| Database: |
BASE |