Measurement of Multilayer Coating Thickness on Interwoven Carbon-Fiber-Reinforced Polymers Using the Terahertz PHASR Scanner
Arash Karimi, Zachery B. Harris, Erica Heller, Paul Vahey, and M. Hassan Arbab

TL;DR
This paper presents a novel THz imaging method using a polarimetric PHASR scanner and a physics-based model to accurately measure multilayer coating thickness on CFRP substrates without prior refractive index knowledge.
Contribution
It introduces a combined hardware-software approach utilizing polarimetric THz imaging and a physics-based model to improve coating thickness measurement accuracy on complex CFRP surfaces.
Findings
Achieved coating thickness measurement with ~10 μm mean square error.
Attained over 92% accuracy in thickness estimation.
Demonstrated the importance of polarimetric imaging for anisotropic CFRP samples.
Abstract
Coating thickness measurement and inspection of defects beneath optically opaque surfaces are among the most promising commercial applications of the terahertz (THz) imaging technology. However, there are two main sources of complexity in THz spectral measurements that have resulted in reduced accuracy and high uncertainty in the determination of coating thicknesses. These factors include: 1. The need for \textit{a priori} knowledge of the complex index of refraction of each coating layer, and 2. The complex and polarization-sensitive reflectivity of samples with carbon-fiber-reinforced polymer (CFRP) substrates. In this paper, we propose a combined hardware and software solution to address these two limitations. We employ the polarimetric version of our Portable HAndheld Spectral Reflection (PHASR) Scanner and use a novel training model on time-of-flight measurements obtained by sparse…
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