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Feature Recognition in Quadratic Frequency Modulated Thermal Wave Imaging for Subsurface Defect Detection in Fiber-Reinforced Polymers

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Abstract

Efficient processing and stimulation mechanisms facilitating subsurface feature analysis are of prime concern in composite inspection. Being capable of presenting depth resolution and depth scanning with frequency sweep at low powers makes quadratic chirp an attractive stimulation mechanism and chirp Z-phased post-processing mechanism. This paper explores this mechanism with existing contemporary approaches and presents its novel feature exhibition enhancement capability through an inspection carried over a carbon fiber reinforced polymer (CFRP) composite specimen with embedded flat bottom holes. The defect detection performance is evaluated using the defect signal-to-noise ratio (SNR) for all the feature extraction algorithms. The SNR, characteristic parameter versus defect size and depth parameters reveal that the time domain PC and frequency domain CZT phase exhibit significantly high SNR and good correlation with the defect depth.

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This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.

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Authors and Affiliations

  1. Infrared Imaging Center, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, A.P, India

    Naga Prasanthi Yerneni & V. S. Ghali

  2. Department of ECE, Dhanekula Institute of Engineering and Technology, 521139, Ganguru, A.P, India

    Naga Prasanthi Yerneni

  3. Assistant Professor, Department of CSE, School of Engineering, Mallareddy University, 500043, Hyderabad, Telangana, India

    G. T. Vesala

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  1. Naga Prasanthi Yerneni
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  3. G. T. Vesala
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Correspondence to V. S. Ghali.

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Yerneni, N.P., Ghali, V.S. & Vesala, G.T. Feature Recognition in Quadratic Frequency Modulated Thermal Wave Imaging for Subsurface Defect Detection in Fiber-Reinforced Polymers. Russ J Nondestruct Test 59, 1177–1190 (2023). https://doi.org/10.1134/S1061830923600788

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