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Design and Simulation of Exhaust Pollution Monitoring Sensor Based on Photonic Crystal Fiber

机译:基于光子晶体纤维的排气污染监测传感器的设计与仿真

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摘要

Many critical issues appear due to the exhaust gases from transportations facilities, electric generators, industries, and so on. This lead to air pollution, which could be define as an introduction of biological materials or chemicals that’s causes harm to all living organism including humans. Also damaging the environment of earth. The principal gases that cause air pollution from these sources are nitrogen oxides (NO, NO2 and N2O) and carbon oxides (CO and CO2). There is a need to develop sensors that are characterized by highly-sensitive and miniaturize that capable of real-time analyses detection; optical fiber sensors agree with these needs. In this work, Large Mode Area- Polarization Maintaining Photonic Crystal Fiber (LMA-PM-PCF) for exhaust gases monitoring have been proposed to detect air-polluted gases over a wide transmission band covering (1µm) to (2µm) wavelength. Different guiding properties had been studied for the infiltrated PCFs. According to simulated results, the high relative sensitivity is obtained for sample infiltrated with CO gas; The higher sensitivity makes this fiber a potential candidate to detect CO that is commonly known as silent killer.
机译:由于来自运输设施,发电机,行业等的废气,出现了许多关键问题。这导致空气污染,这可能是为引入生物材料或化学品的引入,这对包括人类的所有生物体造成伤害。也损害了地球的环境。导致这些来源的空气污染的主要气体是氮氧化物(NO,NO2和N2O)和碳氧化物(CO和CO2)。需要开发具有能够实时分析检测的高度敏感和小型化的传感器;光纤传感器同意这些需求。在这项工作中,已经提出了用于废气监测的大型线偏振,保持用于废气监测的光子晶体纤维(LMA-PM-PCF),以检测宽传动带覆盖(1μm)至(2μm)波长的空气污染气体。渗透的PCFS研究了不同的指导性质。根据模拟结果,获得高相对灵敏度的用于用CO气体渗透的样品;较高的灵敏度使得该纤维是检测通常称为沉默杀手的CO的潜在候选者。

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