Numerical Simulation of Non-Destructive Characterization of CFRP Composite Through Frequency Modulated Thermal wave Imaging
T. S. V. Saketh1, V. V. N. S. G. Sathwik2, D. V. Sai Prahlad3, V. Gopi Tilak4, G. V. P. Chandra Sekhar Yadav5, V. S. Ghali6
1T. S. V. Saketh, B.Tech, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
2V. V. N. S. G. Sathwik, B.Tech, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
3D. V. Sai Prahlad, B.Tech, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
4V. Gopi Tilak, PhD Scholar, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
5G. V. P. Chandra Sekhar Yadav PhD Scholar, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
6V. S. Ghali*, Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 9754-9757 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9263118419/2019©BEIESP | DOI: 10.35940/ijrte.D9263.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Non-destructive testing plays a vital role in industrial and biomedical applications. Non-stationary stimulation based active Infrared thermography is an emerging area of interest in subsurface defect detection and visualization. In present article, frequency modulated thermal wave imaging is employed on a numerical simulation to detect defects of CFRP specimen and applied various post processing techniques such as FFT phase, Pulse compression, principal component analysis and random projection transform for better defect detection. Defect Signal to noise ratios considered as merit of analysis.
Keywords: Frequency Modulated Thermal Wave Imaging, Signal To Noise Ratio, Non-Stationary Thermal Wave Imaging, CFRP, Spectral Reshaping, Pulse Compression, PCA, Random Projection Transform.
Scope of the Article: Thermal Engineering.