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Updated: May 14, 2025

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor
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Study on imaging techniques and quantitative detection method for internal void defects in rubber based on terahertz

Jun Hu, Wennan Liu, Fengyun Xie

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    Summary
    This summary is machine-generated.

    This study introduces an advanced terahertz time-domain spectroscopy system for detecting void defects in black silicone rubber. The optimized system achieves high-precision imaging and quantification using integrated algorithms.

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    Area of Science:

    • Materials Science
    • Non-destructive Testing
    • Spectroscopy

    Background:

    • Void defects in silicone rubber can compromise material integrity and performance.
    • Traditional defect detection methods may lack precision or efficiency for complex materials like black silicone rubber.
    • Terahertz time-domain spectroscopy (THz-TDS) offers potential for non-destructive evaluation due to its unique material penetration and sensitivity.

    Purpose of the Study:

    • To develop and validate an efficient, high-precision defect characterization system for void defects in black silicone rubber using THz-TDS.
    • To optimize and integrate advanced algorithms for enhanced terahertz image reconstruction and spectral analysis.
    • To achieve precise imaging, quantification, and 3D visualization of void defects.

    Main Methods:

    • Application of reflection mode terahertz time-domain spectroscopy (THz-TDS).
    • Integration and optimization of Power Spectral Density (PSD) integration imaging, homomorphic filtering, and the Otsu method for defect characterization.
    • Development of a combined wavelet denoising and time-domain spectroscopy method for spectral analysis.
    • Utilization of a time-of-flight formula for quantitative defect analysis.
    • Introduction of an alignment operation for denoised time-domain spectral curves combined with maximum intensity projection for 3D imaging.

    Main Results:

    • An optimized algorithm combination (PSD integration imaging, homomorphic filtering, Otsu method) was determined, achieving precise defect imaging and quantification.
    • The proposed spectral analysis method effectively denoises signals and enables quantitative defect analysis using time-of-flight.
    • 3D visualization of void defects was successfully realized through spectral curve alignment and maximum intensity projection.

    Conclusions:

    • The developed THz-TDS based system with integrated algorithms provides an efficient and high-precision method for characterizing void defects in black silicone rubber.
    • The study demonstrates the synergistic benefits of combining multiple signal processing and imaging algorithms for improved defect detection and analysis.
    • This approach offers a robust solution for non-destructive evaluation and quality control of silicone rubber materials.