Related Experiment Video
Updated: May 25, 2026

11:34
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
Published on: May 15, 2017
Laser generation of Lamb waves for defect detection: experimental methods and finite element modeling
Susan E Burrows1, Ben Dutton, Steve Dixon
1Physics Department, University of Warwick, Coventry, UK. s.e.burrows@warwick.ac.uk
Summary
Laser-generated ultrasonic Lamb waves in aluminum sheets reveal defect detection enhancements when the generation point is directly above the flaw. This study models and experimentally validates these findings for improved defect characterization.
Area of Science:
- Materials Science
- Non-Destructive Testing
- Acoustics
Background:
- Lamb wave propagation is crucial for inspecting thin structures like aluminum sheets.
- Laser-based ultrasound offers a non-contact method for generating these waves.
- Defect detection and characterization are vital for structural integrity assessment.
Purpose of the Study:
- To model and experimentally investigate the propagation of laser-generated Lamb waves in an aluminum sheet.
- To analyze the interaction of these waves with defects.
- To compare finite element analysis (FEA) results with experimental data.
Main Methods:
- Finite element analysis (FEA) was employed to model Lamb wave propagation.
- Pulsed laser beams were used for wave generation.
- Electromagnetic acoustic transducers (EMATs) were utilized for wave detection.
- Time-frequency analysis, specifically the Wigner transform, was applied.
Main Results:
- The frequency content of received Lamb waves is enhanced when the generation point is directly over a defect.
- This enhancement was observed in both modeled (FEA) and experimental results.
- Individual Lamb wave modes were successfully identified using time-frequency analysis.
Conclusions:
- The study confirms that the positioning of laser-generated Lamb wave excitation significantly impacts defect detection sensitivity.
- FEA provides a reliable method for modeling Lamb wave-defect interactions.
- EMAT detection coupled with advanced signal processing enables effective defect characterization.

