Accurate Microwave Measurement of Coating Thickness on Carbon Composite Substrates
Abstract
This paper describes the utility of a microwave-based nondestructive evaluation (NDE) method for accurate thickness measurement of thin dielectric coatings (e.g., paint and primer) on a carbon composite (CC) substrate and the results are compared with those using a conducting (aluminum) substrate. The small thickness and the diverse dielectric properties associated with these coatings, along with the anisotropy associated with CC substrates, significantly limit the use of traditional NDE methods. This method not only overcomes these limitations but also provides for simultaneously evaluating the thicknesses of multiple coating layers (and also their dielectric constants). The electromagnetic simulation results for simultaneously estimating the thicknesses of a top and a bottom coating (i.e., primer and paint) as well as experimentally evaluating thicknesses of several coatings on such substrates are presented. In addition, thickness evaluation sensitivity to several critical parameters such as CC fiber orientation and variation in the measured coating dielectric constant used in the thickness recalculation is also investigated and presented.
Recommended Citation
R. Zoughi et al., "Accurate Microwave Measurement of Coating Thickness on Carbon Composite Substrates," IEEE Transactions on Instrumentation and Measurement, vol. 65, no. 4, pp. 951 - 953, Institute of Electrical and Electronics Engineers (IEEE), Feb 2016.
The definitive version is available at https://doi.org/10.1109/TIM.2016.2526698
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Aluminum Coatings; Carbon Carbon Composites; Composite Coatings; Composite Materials; Dielectric Properties; Nondestructive Examination; Paint; Sensitivity Analysis; Substrates; Thickness Measurement; A-Carbon; Coating Layer; Coating Thickness; Electromagnetic Simulation; NDE Methods; Non-Destructive Evaluation Methods; Thin Dielectric Coatings
International Standard Serial Number (ISSN)
0018-9456
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Feb 2016