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16 March 2006 Experimental demonstration of using nano-photonic crystal sensor systems for submicron damage detection, quantification, and diagnoses
J. C. Verley; S. S. Mani; J. G. Fleming; I. El-Kady; T. Khraishi; M. M. Reda Taha
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Proceedings Volume 6179, Advanced Sensor Technologies for Nondestructive Evaluation and Structural Health Monitoring II; 617904 (2006) https://doi.org/10.1117/12.658676
Event: Nondestructive Evaluation for Health Monitoring and Diagnostics, 2006, San Diego, CA, United States
Abstract
Photonic crystals (PC) are artificially fabricated crystals with a periodicity in the dielectric function. The spectral signature of such crystals is intricately tied to their underlying crystal lattice structural parameters. A result of this is that significant spectral changes can occur if damage is induced in the photonic crystal. In this work we present preliminary experimental results that demonstrate the possible use of photonic crystals as sensors for the detection, quantification and diagnosis of sub-micron damage. The experimentally observed variation in the reflection spectra of the photonic crystals is related to the damage induced in the material. A novel damage metric, based on principles of fuzzy pattern recognition, is introduced and is used to identify and quantify micro-damage in the photonic crystal. The corresponding damage metric is also presented and discussed. The detailed fabrication steps, as well as the advantages and limitations of this new approach are also addressed. It is concluded that photonic crystals can be successfully used for micro-damage quantification.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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J. C. Verley, S. S. Mani, J. G. Fleming, I. El-Kady, T. Khraishi, and M. M. Reda Taha "Experimental demonstration of using nano-photonic crystal sensor systems for submicron damage detection, quantification, and diagnoses", Proc. SPIE 6179, Advanced Sensor Technologies for Nondestructive Evaluation and Structural Health Monitoring II, 617904 (16 March 2006); https://doi.org/10.1117/12.658676
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