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Quantitative flaw reconstruction from ultrasonic surface wavefields measured by electronic speckle pattern
1Applied Research Laboratory, Pennsylvania State University, University Park, PA 16802, USA.
Summary
This study introduces a novel ultrasonic imaging technique using electronic speckle pattern interferometry (ESPI) to detect internal flaws in structures. The method effectively maps material variations and defects, even those smaller than the acoustic wavelength.
Area of Science:
- Non-destructive testing
- Materials science
- Wave mechanics
Background:
- Plate and shell structures are critical in various engineering applications.
- Detecting internal flaws is essential for structural integrity and safety.
- Existing ultrasonic imaging methods have limitations in resolution and applicability to complex geometries.
Purpose of the Study:
- To present a new two-dimensional ultrasonic imaging method for flaws in plate and shell structures.
- To demonstrate the capability of the method to image small defects and complex structures.
- To provide quantitative images of internal inhomogeneities based on material property variations.
Main Methods:
- Utilizing two-dimensional ultrasonic surface wave data acquired via electronic speckle pattern interferometry (ESPI).
- Processing the out-of-plane displacement field of externally excited ultrasonic Lamb waves.
- Deconvolving a free space Green's function from the wavefield to obtain effective scattering source images.
Main Results:
- Simulations confirmed accurate imaging of flaws across various sizes and material contrasts.
- The method successfully imaged flaw features smaller than the acoustic wavelength by utilizing scattered evanescent waves.
- Experimental reconstructions from a flawed aluminum plate demonstrated potential for complex structures.
Conclusions:
- The developed ultrasonic imaging method provides a direct map of internal inhomogeneities.
- The technique shows promise for non-destructive evaluation of complex structures where traditional ESPI interpretation is challenging.
- This advancement offers enhanced capability for detecting subtle flaws in critical engineering components.