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Estimation of Damage Thickness in Fiber-Reinforced Composites using Pulsed Thermography

Sirikham, A., Zhao, Y., Nezhad, H. Y., Du, W. and Roy, R. ORCID: 0000-0001-5491-7437 (2019). Estimation of Damage Thickness in Fiber-Reinforced Composites using Pulsed Thermography. IEEE Transactions on Industrial Informatics, 15(1), pp. 445-453. doi: 10.1109/TII.2018.2878758

Abstract

Nondestructive testing (NDT), including active thermography, has become an inevitable part of composite process and product verification, post manufacturing. However, there is no reliable NDT technique available to ensure the interlaminar bond integrity during composite laminate integration, bonding or repair where the presence of thin air gaps in the interface of dissimilar polymer composite materials would be detrimental to structural integrity. This paper introduces a novel approach attempting to quantify the damage thickness of composites (the thickness of air gaps inside composites) through a single-side inspection of pulsed thermography. The potential of this method is demonstrated by testing on three specimens with different types of defect, where the Pearson correlation coefficients of the thickness estimation for block defects and flat-bottom holes are 0.75 and 0.85, respectively. This approach will considerably enhance the degradation assessment performance of active thermography by extending damage measurement from currently two dimensions to three dimensions, and become an enabling technology on quality assurance of structural integrity.

Publication Type: Article
Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords: Active thermography, composite damage detection, bonded repair, nonlinear system identification, correlation analysis
Subjects: R Medicine > RC Internal medicine
T Technology > TA Engineering (General). Civil engineering (General)
Departments: School of Mathematics, Computer Science & Engineering
URI: http://openaccess.city.ac.uk/id/eprint/22131
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