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Thickness Measurements with EMAT Based on Fuzzy Logic
Yingjie Shi1,2, Shihui Tian1, Jiahong Jiang1
1Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China.
This study presents a novel fuzzy logic combined method for enhanced metal thickness measurement using electromagnetic ultrasonics (EMAT). The technique significantly improves range and accuracy for industrial applications.
Area of Science:
- Materials Science
- Non-Destructive Testing
- Ultrasonic Measurement
Background:
- Accurate non-contact metal thickness measurement is crucial for industry.
- Existing ultrasonic methods, including electromagnetic ultrasonics (EMAT), have limitations in range and accuracy.
- Widespread adoption of EMAT is hindered by these constraints.
Purpose of the Study:
- To develop a novel combined thickness measurement method for EMAT.
- To broaden the applicational scope of EMAT through enhanced range and accuracy.
- To integrate fuzzy logic with ultrasonic techniques for improved performance.
Main Methods:
- Utilized a novel combined approach integrating fuzzy logic with ultrasonic techniques.
- Employed short pulse time-of-flight (TOF) for initial thickness estimation.
- Incorporated secondary measurements using resonance, short pulse echo, and linear frequency modulation echo, guided by fuzzy logic.
Main Results:
- Achieved a broad measurement range of 0.3-1000.0 mm.
- Demonstrated a high level of accuracy with a median error within ±0.5 mm.
- The combined method outperformed traditional short pulse echo techniques.
Conclusions:
- The novel fuzzy logic combined method significantly enhances EMAT performance for metal thickness measurement.
- This approach offers a wider measurement range and improved accuracy compared to existing methods.
- The technique holds substantial potential for diverse industrial applications requiring precise, non-contact thickness gauging.
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