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Chirp Z Transform Based Barker Coded Thermal Wave Imaging for the Characterization of Fiber Reinforced Polymers

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Abstract

The phase-based post processing approaches gives better defect detection in non stationary thermal wave imaging for subsurface analysis of materials in various applications. But the limited frequency resolution offer by the fast Fourier transform used in conventional phase based processing methods reduces the detection capability of stimulation mechanism used in experimentation procedure which subsequently causes incorrect anomaly signature. This manuscript studies the capability of barker coded thermal wave imaging for enhanced anomaly detection based on improved frequency resolution using novel chirp Z transform (CZT) derived phase details. Further the proposed method is compared with the conventional post processing approaches and their performance is quantified in terms of signal to noise ratio of defect followed by a comparative sizing analysis.

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Authors and Affiliations

  1. PACE Institute of Technology & Sciences, Ongole, India

    Sk. Subhani & Rama Chaithanya Tanguturi

  2. KLU Infrared Imaging Centre, KLEF, Vaddeswaram, Guntur, India

    V. S. Ghali

Authors
  1. Sk. Subhani
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  2. Rama Chaithanya Tanguturi
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  3. V. S. Ghali
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Correspondence to Sk. Subhani.

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Subhani, S., Tanguturi, R.C. & Ghali, V.S. Chirp Z Transform Based Barker Coded Thermal Wave Imaging for the Characterization of Fiber Reinforced Polymers. Russ J Nondestruct Test 57, 627–634 (2021). https://doi.org/10.1134/S1061830921070123

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  • DOI: https://doi.org/10.1134/S1061830921070123

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