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The Theoretical Study of an Optimal Distributed Fiber Moisture Sensor Based on the Periodic Polymer Coating
Iranian Journal of Science and Technology, Transactions A: Science ( IF 1.4 ) Pub Date : 2021-03-09 , DOI: 10.1007/s40995-021-01087-3
Abolfazl Bahrampour , Mahboubeh Dehghani Sanij , Hosein Rooholamininejad , Alireza Bahrampour

In our previous works, we presented a theoretical approach to describe the behavior of a single-mode step-index optical fiber or polymer optical fiber such as poly (methyl methacrylate) or PMMA fiber coated by moisture-sensitive polymers (MSPs) and moisture-insensitive polymers periodically. The periodic structure is surrounded by a high young's modulus material such as stainless steel mesh. Absorption of the moisture by the MSPs causes to deform the optical fiber, such that the optical fiber gratings are induced. Induced fiber gratings are the basis of the proposed relative moisture sensor. Due to the low Young's modulus of polymers, the polymer fiber sensors are more sensitive relative to the glass optical fiber sensors. The difference between the coefficient of thermal expansion of different polymers is the origin of errors in the sensor's outputs. In this paper, a theoretical approximate method is employed to optimize the moisture density in the presence of temperature variation and as a result, the error due to temperature change is investigated, and finally, a structure for temperature-compensated distributed optical fiber moisture sensor is proposed. By the development of this numerical approach, it is shown that the proposed sensor can be employed for moisture and temperature measurement simultaneously. The optimal design of a long length distributed optical fiber moisture sensor makes it a good candidate for application in the agriculture fields and gardens’ smart irrigation.



中文翻译:

基于周期性聚合物涂层的最佳分布式光纤湿度传感器的理论研究

在我们之前的工作中,我们提出了一种理论方法来描述单模阶跃折射率光纤或聚合物光纤(如聚甲基丙烯酸甲酯)或涂有湿敏聚合物(MSP)和湿气的PMMA光纤的行为。周期性不敏感的聚合物。周期性结构被高杨氏模量的材料如不锈钢网包围。MSP吸收水分会导致光纤变形,从而导致光纤光栅被感应。感应光纤光栅是提出的相对湿度传感器的基础。由于聚合物的杨氏模量低,因此聚合物纤维传感器相对于玻璃纤维传感器更为敏感。不同聚合物的热膨胀系数之间的差异是传感器输出中误差的根源。本文采用理论上的近似方法对存在温度变化的情况下的水分密度进行了优化,从而研究了温度变化引起的误差,最后提出了一种温度补偿的分布式光纤水分传感器的结构。建议的。通过这种数值方法的发展,表明所提出的传感器可以同时用于水分和温度的测量。长距离分布式光纤湿度传感器的优化设计使其非常适合在农业领域和花园的智能灌溉中应用。通过理论上的近似方法,在存在温度变化的情况下优化了水分密度,从而研究了温度变化引起的误差,最后提出了一种温度补偿的分布式光纤水分传感器的结构。通过这种数值方法的发展,表明所提出的传感器可以同时用于水分和温度的测量。长距离分布式光纤湿度传感器的优化设计使其非常适合在农业领域和花园的智能灌溉中应用。通过理论上的近似方法,在存在温度变化的情况下优化了水分密度,从而研究了温度变化引起的误差,最后提出了一种温度补偿的分布式光纤水分传感器的结构。通过这种数值方法的发展,表明所提出的传感器可以同时用于水分和温度的测量。长距离分布式光纤湿度传感器的优化设计使其非常适合在农业领域和花园的智能灌溉中应用。提出了一种温度补偿分布式光纤湿度传感器的结构。通过这种数值方法的发展,表明所提出的传感器可以同时用于水分和温度的测量。长距离分布式光纤湿度传感器的优化设计使其非常适合在农业领域和花园的智能灌溉中应用。提出了一种温度补偿分布式光纤湿度传感器的结构。通过这种数值方法的发展,表明所提出的传感器可以同时用于水分和温度的测量。长距离分布式光纤湿度传感器的优化设计使其非常适合在农业领域和花园的智能灌溉中应用。

更新日期:2021-03-09
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