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Nonlinear Ultrasonic C-Scan Imaging for Contact-Type Defects in Diffusion-Bonded Joints-A Case Study
Chi Zhang1, Qianghua Pan1, Taili Liu1
1China Special Equipment Inspection and Research Institute, Beijing 100029, China.
Materials (Basel, Switzerland)
|March 28, 2024
Summary
This study introduces a new nonlinear ultrasonic method using pulse waves to detect tiny defects in diffusion-bonded joints. This advanced technique significantly improves the detection of subtle contact-type flaws missed by traditional methods.
Area of Science:
- Materials Science and Engineering
- Non-Destructive Testing
- Ultrasonic Characterization
Background:
- Diffusion bonding is crucial for precision components, but detecting interface defects is challenging.
- Existing nonlinear ultrasonic methods have limitations in excitation signals, restricting broader application.
- Linear ultrasonic testing struggles with detecting subtle contact-type defects.
Purpose of the Study:
- To propose and validate a dual-probe nonlinear ultrasonic testing method with pulse wave excitation.
- To enhance the detection of contact-type defects in diffusion-bonded joints.
- To develop a nonlinear ultrasonic C-scan imaging technique for bond interfaces.
Main Methods:
- Fabrication of a titanium alloy diffusion-bonded specimen with artificial defects.
- Design of a detection device integrated with an ultrasonic C-scan system.
- Development of a C-scan imaging program extracting fundamental and second harmonic waves for nonlinear parameter calculation.
Main Results:
- Successful acquisition of nonlinear parameters for diffusion-bonded interfaces.
- Generation of nonlinear ultrasonic C-scan images of the bond interface.
- Nonlinear parameters in contact-type defect areas were approximately 10 times (20 dB) higher than in macro defect areas (10 μm gap).
Conclusions:
- The proposed dual-probe nonlinear ultrasonic method effectively detects contact-type defects in diffusion-bonded joints.
- Nonlinear ultrasonic testing demonstrates superior sensitivity to subtle defects compared to linear methods.
- This technique shows great potential to augment the detection capabilities for diffusion-bonded components.

