Characterizing polycrystalline microstructures by reconstructing grain boundaries and velocity map from ultrasonic...

Area of Science:

• Materials Science
• Non-Destructive Testing
• Acoustics

Background:

• Polycrystalline microstructures significantly influence material properties.
• Accurate characterization of these microstructures is crucial for quality control and performance prediction.
• Current methods may lack the resolution or non-destructive capabilities required for detailed analysis.

Purpose of the Study:

• To develop a novel ultrasonic material characterization method.
• To reconstruct polycrystalline microstructures from surface wave field measurements.
• To achieve sub-wavelength resolution for enhanced material imaging.

Main Methods:

• Utilizing ultrasonic surface waves for material characterization.
• Developing wavenumber-frequency domain filters for wave component extraction.
• Implementing an evanescent-pass filter for grain boundary reconstruction.
• Employing a directional filter to map surface wave velocity.

Main Results:

• Successful reconstruction of polycrystalline microstructures demonstrated.
• Validation through numerical simulations and experimental testing on additively manufactured samples.
• Achievement of sub-wavelength resolution under specific data acquisition conditions.

Conclusions:

• The proposed ultrasonic method effectively reconstructs microstructures.
• The developed filters enable detailed analysis of grain boundaries and wave velocity.
• This technique offers a promising non-destructive approach for advanced material characterization.