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Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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Defect detectability based on square wave lock-in thermography.

Pengfei Zhu, Dan Wu, Yifan Wang

    Applied Optics
    |October 18, 2022
    PubMed
    Summary
    This summary is machine-generated.

    Lock-in thermography with neural networks detects defects in stainless steel. This advanced technique reconstructs full-field depth images with high accuracy and speed, optimizing parameters for better defect detection.

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    Area of Science:

    • Materials Science
    • Non-Destructive Testing
    • Thermal Analysis

    Background:

    • Defect detection in stainless steel is crucial for structural integrity.
    • Traditional methods may lack speed and accuracy.
    • Advanced thermal imaging techniques offer potential improvements.

    Purpose of the Study:

    • To develop and evaluate an advanced lock-in thermography technique for defect detection in stainless steel.
    • To compare the proposed method with traditional image processing techniques.
    • To optimize experimental parameters for enhanced defect detection.

    Main Methods:

    • Utilized lock-in thermography with a periodical square wave excitation.
    • Integrated neural networks for image processing and defect detection.
    • Developed a full-field defect reconstruction technology combining pulsed phase thermography, threshold segmentation, and lock-in thermography.
    • Investigated the effects of excitation frequency and duty cycle.

    Main Results:

    • The proposed neural network-based lock-in thermography achieved high detection accuracy.
    • Full-field defect reconstruction provided detailed depth imaging.
    • The method demonstrated fast processing speeds compared to traditional approaches.
    • Optimal excitation frequency and duty cycle were determined for improved thermal image quality and defect detection.

    Conclusions:

    • The combined neural network and lock-in thermography technique is effective for high-accuracy, high-speed defect detection in stainless steel.
    • Full-field defect reconstruction technology enhances defect visualization and analysis.
    • Parameter optimization is key to maximizing the performance of lock-in thermography for defect detection.