Development of A Small-Scale Photonic Crystal Fiber (PCF) Sensor for Detecting Alcohol Substances

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Date

2024-03

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International Islamic University Chittagong

Abstract

A variation of optical fiber, referred to as PCF, capitalizes on the advantageous attributes of photonic crystals. PCFs, distinguished by their distinctive optical features such as high sensitivity, minimal loss, and adaptability, have emerged as promising candidates for the development of highly efficient sensors for alcohol detection. Alcohol consumption is prevalent in our society, though not always openly acknowledged. Therefore, it is imperative to have precise and dependable methods for detecting alcohol, especially in the context of preventing drunk driving on highways. Presented here is a proposal for an optical sensor designed to detect alcohols for drunk driving on highways. This sensor is crafted with a cladding featuring circular air holes (CAH), forming a hexagonal in shape and a compact hexagonal core. The simulation and analysis of this PCF-based sensor's sensing capabilities are conducted using COMSOL Multiphysics software, employing specific elements for a technical solution. In the THz frequency band, the described PCF structure exhibits a notable relative sensitivity of 83.05%, 82.96%, 82.75%, and 82.64%. Concomitantly, the confinement losses (CLs) are measured at low values: 6.17×10-08 dB/m, 5.89×10-08 dB/m, 5.82×10-08 dB/m, and 6.38×10-08 dB/m for four types of alcohols - Methanol (n=1.326), Ethanol (n=1.354), Propanol (n=1.387), and Butanol (n=1.399) respectively observed at 1 THz. This content and analysis in the THz frequency range is based on Photonic crystal fiber (PCF). Also, the effective mode index is also determined in the frequency range of (0.5-3) THz. As it has good wave guiding characteristics, this suggested sensor has the potential to be employed in alcohol detection.

Description

This internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in B.Sc. Engineering, Spring -2023 Cataloged from the PDF version of the internship report.

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