Inspection of Defects in CFRP Based on Principal Components
Md M Pasha1, G V Subbarao2, B Suresh3, S Tabassum4

1Md. M. Pasha*, Infrared Imaging Centre, KL Deemed to be university, Vaddeswaram ,Andhra Pradesh, India.
2G. V. Subba Rao, Infrared Imaging Centre, KL Deemed to be University, Vaddeswaram, Country.
3B Suresh, Assistant Professor, Dept. of ECE, KL Deemed to be University, Vaddeswaram, Andhra Pradesh, India.
4S Tabassum, Dept. of ECE, KL Deemed to be University, Vaddeswaram, Andhra Pradesh, India.

Manuscript received on 5 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 2367-2370 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4658098319/2019©BEIESP | DOI: 10.35940/ijrte.C4658.098319
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Recent advances in thermal non-destructive testing (TNDT) witnessed improved defect detection capabilities in various fields. Active thermography enables fast and easy inspection of products made of composites. A number of post processing techniques are being developed with an aim to enhance the subsurface defects from the thermographic data. This paper explores the idea of applying principal component analysis (PCA) to thermal wave imaging for possible enhancement of subsurface defects in carbon fibre reinforced plastic (CFRP) material. The experimentation is carried over CFRP sample using quadrature frequency modulated thermal wave imaging (QFMTWI) excitation scheme and results are compared with conventional phase based methods. The results demonstrate the potential of this approach for detecting subsurface defects in CFRP.
Keywords: PCA, QFMTWI, Subsurface Defects, Thermal Wave Imaging.

Scope of the Article:
Seismic Evaluation of Building Nonstructural Components