Thickness Measurements with EMAT Based on Fuzzy Logic.

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.