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    Frequency-modulated chirp signals enhance pulse-compression thermography for non-destructive testing. Optimized non-linear chirps improve defect detection in carbon fiber composites by maximizing heat transfer and signal-to-noise ratio.

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    Area of Science:

    • Materials Science
    • Non-Destructive Testing
    • Signal Processing

    Background:

    • Pulse-compression thermography (PCT) is an advanced non-destructive evaluation (NDE) method.
    • The efficacy of PCT relies heavily on the characteristics of coded excitations used for thermal stimulation.
    • Effective defect detection in composite materials is crucial for structural integrity.

    Purpose of the Study:

    • To investigate the use of frequency-modulated signals, specifically chirps, in PCT.
    • To optimize non-linear chirp signals for enhanced heat transfer in composite materials.
    • To compare the defect detection capabilities of various chirp signals based on signal-to-noise ratio (SNR).

    Main Methods:

    • Implementation of pulse-compression thermography using chirp signals.
    • Testing of linear and optimized non-linear chirp excitations.
    • Imaging of thin Teflon defects within a carbon fiber composite sample.
    • Analysis of defect detection performance using SNR as a metric.

    Main Results:

    • Frequency-modulated chirp signals demonstrate suitability for PCT applications.
    • Optimized non-linear chirp signals show potential for improved heat transfer.
    • The study provides a comparative analysis of different chirp signal strategies for defect imaging.
    • Higher SNR values were achieved with optimized chirp signals, indicating enhanced defect detectability.

    Conclusions:

    • Chirp signals are effective coded excitations for pulse-compression thermography.
    • Optimized non-linear chirp signals offer superior performance for detecting defects in composite materials.
    • This research contributes to advancing NDE techniques for materials characterization and quality control.