Related Experiment Video
Updated: Mar 1, 2026
11:34
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
Published on: May 15, 2017
11.6K
Comparison Study between RMS and Edge Detection Image Processing Algorithms for a Pulsed Laser UWPI (Ultrasonic Wave
Changgil Lee1, Aoqi Zhang2, Byoungjoon Yu3
1School of Civil, Architectural Engineering and Landscape Architecture, Sungkyunkwan University, Gyeonggi-do, Suwon-si 16419, Korea. tolck81@gmail.com.
Sensors (Basel, Switzerland)
|June 8, 2017
Summary
This study introduces a laser ultrasonic imaging technique for detecting plate damage. The method visualizes defects like cracks and corrosion by analyzing scattered wave energy, effectively mapping damage shape and size.
Area of Science:
- Materials Science
- Non-Destructive Testing
- Acoustic Imaging
Background:
- Plate-like structures are critical in various industries, and detecting damage is essential for safety and maintenance.
- Traditional non-destructive testing methods can be time-consuming or require direct contact.
- Developing efficient, non-contact methods for damage detection is a significant research area.
Purpose of the Study:
- To investigate the efficacy of a non-contact laser ultrasonic propagation imaging technique for detecting artificial defects in plate-like structures.
- To evaluate the performance of different edge detection methodologies in visualizing structural damage.
- To assess the capability of the technique in characterizing defect parameters such as shape, size, and depth.
Main Methods:
- Utilized an Nd:YAG pulse laser system to generate Lamb waves for non-contact excitation.
- Employed a galvanometer-based laser scanner for area scanning.
- Measured structural responses with piezoelectric sensors and analyzed root mean square (RMS) values for defect visualization.
- Applied edge detection algorithms to RMS images of artificially created notches and corrosion on aluminum plates.
Main Results:
- The laser ultrasonic imaging technique successfully visualized artificially induced defects, including notches and corrosion, on aluminum plates.
- Root mean square (RMS) values of scattered wave energy effectively indicated the presence and location of structural damage.
- Edge detection methods demonstrated good performance in identifying the shape and size of the defects.
- The study found limitations in accurately detecting the depth of the damage using the investigated edge detection methods.
Conclusions:
- The non-contact laser ultrasonic propagation imaging technique is a viable method for detecting and visualizing structural damage in plate-like materials.
- Edge detection algorithms enhance the clarity of defect visualization, particularly for shape and size.
- Further research is needed to improve the depth-sensing capabilities of this technique for comprehensive damage assessment.
