Abstract
This article presents a photonic crystal fiber (PCF) sensor model with enlarged sensing performance for ethanol detection. Comsol Multiphysics (Version-5.2) is used to simulate the sensor model and MATLAB is used to plot expected sensing profiles. The proposed sensor model provides the sensitivity of around 54% at a wavelength of 1.6 \(\mu \mathrm {m}\). The sensor model also shows zero confinement loss till 1.6 \(\mu \mathrm {m}\) and after that around 0.65 \(\times \) \(10^{-7}\) dB/m confinement loss is observed at a wavelength of 1.8 \(\mu \mathrm {m}\). Effective area is also investigated in this work and it is obtained around 19 \(\mu \mathrm {m}^{2}\) at wavelength 1.6 \(\mu \mathrm {m}\). The proposed model is very simple and hopefully, possible to fabricate by using existing fabrication model.
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Podder, E., Hossain, M.B., Al-Mamun Bulbul, A., Shekhar Mondal, H. (2020). Ethanol Detection Through Photonic Crystal Fiber. In: Uddin, M., Bansal, J. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-7564-4_15
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DOI: https://doi.org/10.1007/978-981-13-7564-4_15
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