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Application of a laser/EMAT system for using shear and LS mode converted waves
1DIAS, UMIST, Manchester, UK. paul.r.murray@umist.ac.uk
Ultrasonics
|August 6, 2002
Summary
This study presents a non-contact method using laser-generated shear waves to monitor metal plate thickness. The technique effectively visualizes thickness variations in aluminum samples up to 70 mm.
Area of Science:
- Materials Science
- Non-Destructive Testing
- Ultrasonics
Background:
- Accurate monitoring of metal plate thickness is crucial for industrial applications.
- Traditional methods can be contact-based, time-consuming, or limited in scope.
- Developing non-contact, efficient thickness measurement techniques is an ongoing challenge.
Purpose of the Study:
- To develop and demonstrate an effective non-contact method for monitoring metal plate thickness.
- To utilize quantitative time-of-flight analysis of laser-generated waves for thickness measurement.
- To assess the capability of the method for visualizing thickness variations.
Main Methods:
- Q-switched Nd:YAG laser pulses (18 mJ) delivered via optical fiber and focused to a line source.
- Excitation of surface waves, longitudinal waves, and shear waves.
- Detection of reflected bulk waves using an electro-magnetic acoustic transducer (EMAT).
- Generation of B-scans and 2-D intensity profiles for thickness visualization.
- Utilizing longitudinal-shear (L-S) and shear-longitudinal (S-L) mode-converted waves for simultaneous monitoring.
Main Results:
- The method successfully enabled non-contact monitoring of metal plate thickness.
- B-scan compilation provided easy visualization of thickness changes.
- Mode-converted waves allowed simultaneous monitoring of two points on the far surface.
- Accurate thickness determination for aluminum samples ranging from 5 to 70 mm was achieved.
Conclusions:
- Quantitative time-of-flight analysis of laser-generated waves is an effective non-contact method for metal plate thickness monitoring.
- The technique offers precise visualization and simultaneous monitoring capabilities.
- This method shows significant potential for quality control and inspection in various industries.