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This project aims to advance real-time quality control in printed and flexible electronics manufacturing through the development and simulation of resonant metasurfaces. The work supports the commercialization of the TRAQC system—an AI-driven, terahertz-based inspection platform designed for in-line defect detection and material characterization.
The research focuses on designing printable metasurface patterns made from different conductive materials and geometries to achieve a strong resonance at a particular frequency, corresponding to TRAQC’s single-frequency operating regime. Using electromagnetic simulations, the project will evaluate how manufacturing variations—such as ink conductivity, line width, and substrate type—affect resonance frequency and signal strength. The resulting simulation library will guide the fabrication of optimized structures compatible with scalable printing techniques like screen, flexographic, and inkjet printing.
By bridging advanced modeling with practical manufacturing constraints, this work will deliver validated metasurface designs and sensitivity maps tailored to industrial environments. These outcomes will strengthen TRAQC’s capacity to provide non-destructive, high-speed, and accurate quality control across the printed electronics sector—contributing to greener, more efficient manufacturing in Canada and beyond.
Tsuneyuki Ozaki
TRAQC
Engineering
Manufacturing; Professional, scientific and technical services
Université du Québec : Institut national de la recherche scientifique
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