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Damage characterization using guided-wave linear arrays and image compounding techniques.

Ricardo T Higuti¹, Oscar Martínez-Graullera, Carlos J Martín

¹Universidade Estadual Paulista (UNESP), Department of Electrical Engineering, Ilha Solteira, São Paulo, Brazil. tokio@dee.feis.unesp.br

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

|September 30, 2010

Summary

This study introduces an advanced imaging method using Lamb waves for inspecting plate-like structures. The technique significantly enhances image resolution and contrast, overcoming limitations of traditional methods for defect detection.

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Area of Science:

Non-destructive testing and evaluation
Ultrasonic imaging
Materials science

Background:

Inspection of isotropic plate-like structures is crucial for structural integrity.
Conventional methods face limitations due to low dynamic range and narrowband signals.
Lamb wave propagation characteristics present challenges for high-resolution imaging.

Purpose of the Study:

To develop a high-resolution imaging method for inspecting plate-like structures.
To overcome limitations of low dynamic range and signal characteristics in Lamb wave testing.
To improve defect detection and imaging quality in materials inspection.

Main Methods:

Utilized a full matrix array and synthetic aperture technique with varying apodization coefficients.
Implemented image compounding strategies, including a novel algorithm based on apodization and polarity diversity.
Introduced spatial diversity using an additional array to incorporate complementary defect information.

Main Results:

The proposed algorithm, enhanced by spatial diversity, significantly improved image resolution and contrast.
Successfully addressed issues like dead zones and reverberations, enhancing image quality.
Demonstrated effective defect detection in a 1-mm-thick aluminum plate using 30-element linear arrays at 330 kHz.

Conclusions:

The developed high-resolution imaging method offers superior performance for inspecting plate-like structures.
Spatial diversity is key to enhancing defect characterization and image quality.
This technique shows promise for advanced non-destructive evaluation applications.