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Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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Published on: May 15, 2017

Experimental and image-inversion optimization aspects of thermal-wave diffraction tomographic microscopy.

L Nicolaides, A Mandelis

    Optics Express
    |May 2, 2009
    PubMed
    Summary

    Thermal-wave Slice Diffraction Tomography (TSDT) offers non-destructive imaging of sub-surface defects in opaque materials. A new high-resolution setup improves defect detection accuracy for enhanced material analysis.

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    Area of Science:

    • Materials Science
    • Non-destructive Testing
    • Optical Imaging

    Background:

    • Conventional tomography is ill-posed for thermal wave problems.
    • Sub-surface defect detection in opaque solids requires advanced imaging.
    • Photothermal techniques offer potential for near-surface analysis.

    Purpose of the Study:

    • To develop and validate an improved Thermal-wave Slice Diffraction Tomography (TSDT) technique.
    • To enhance the resolution and accuracy of sub-surface defect imaging.
    • To address the ill-posed nature of thermal wave reconstruction.

    Main Methods:

    • Utilized photothermal tomographic microscopy to gather experimental data.
    • Employed Tikhonov regularization and the L-curve method for numerical inversion and optimization.
    • Developed a new high-resolution radiometric setup for improved image quality.

    Main Results:

    • Generated cross-sectional thermal diffusivity images of materials.
    • Successfully resolved multiplicity of solutions inherent in ill-posed problems.
    • Demonstrated reduced image broadening compared to previous low-resolution setups.

    Conclusions:

    • The enhanced TSDT technique provides high-resolution imaging of near-surface defects.
    • The L-curve method effectively optimizes solutions for ill-posed thermal wave problems.
    • The new radiometric setup significantly improves defect detection capabilities.