Sensing Characteristics of Fiber Fabry-Perot Sensors Based on Polymer Materials

Liu, Zheng-Da; Liu, Bin; Liu, Juan; Fu, Yanjun; Wang, Mengyu; Wan, Shengpeng; He, Xingdao; Yuan, Jinhui; Chan, Hau Ping; Wu, Qiang

doi:10.1109/access.2020.3025330

Cited by 10 publications

(2 citation statements)

References 31 publications

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“…This sensor responded to changes in the refractive index of the liquid based on the evanescent field effect [90], with a refractive index sensitivity of 156.8 nm/RIU. Reference [91] presented a simple fiber FP sensor with a structure similar to the previous one. The authors filled the FP cavity with three different polymers, UV88, NOA68, and Loctite 3525.…”

Section: Refractive Index Sensingmentioning

confidence: 99%

A Review of Optical Fiber Sensing Technology Based on Thin Film and Fabry–Perot Cavity

Ma,

Peng,

Bai

et al. 2023

Coatings

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Fiber sensors possess characteristics such as compact structure, simplicity, electromagnetic interference resistance, and reusability, making them widely applicable in various practical engineering applications. Traditional fiber sensors based on different microstructures solely rely on the thermal expansion effect of silica material itself, limiting their usage primarily to temperature or pressure sensing. By employing thin film technology to form Fabry–Perot (FP) cavities on the end-face or inside the fiber, sensitivity to different physical quantities can be achieved using different materials, and this greatly expands the application range of fiber sensing. This paper provides a systematic introduction to the principle of FP cavity fiber optic sensors based on thin film technology and reviews the applications and development trends of this sensor in various measurement fields. Currently, there is a growing need for precise measurements in both scientific research and industrial production. This has led to an increase in the variety of structures and sensing materials used in fiber sensors. The thin film discussed in this paper, suitable for various types of sensing, not only applies to fiber optic FP cavity sensors but also contributes to the research and advancement of other types of fiber sensors.

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Section: Refractive Index Sensingmentioning

confidence: 99%

A Review of Optical Fiber Sensing Technology Based on Thin Film and Fabry–Perot Cavity

Ma,

Peng,

Bai

et al. 2023

Coatings

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“…Besides, in this type of sensors, the sensitivity matrix equation can be used to determine the values of the two variables since it can help to minimize errors in the calculation of the values of the measured parameters but requires that the sensitivities must be linear in the measurement ranges with a quasinegligible crosssensitivity. Additionally, dual-parameter interferometric optical sensors based on materials with considerable thermal properties have been reported [6][7][8]. For example, Tan et al [7] reported a UV-curable polymer microhemisphere-based fiber-optic Fabry-Perot interferometer for simultaneous measurement of refractive index and temperature in the measurement which ranges from 1.38 to 1.42 RIU and from 25 to 65 °C, respectively.…”

Section: Introductionmentioning

confidence: 99%

Application of a Multiple Regression Model for the Simultaneous Measurement of Refractive Index and Temperature Based on an Interferometric Optical System

Guzmán-Chávez

Rodríguez

2023

Journal of Sensors

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Interferometric optical systems have been proposed for implementing dual-parameter optical sensors. For this type of sensors, the sensitivity matrix equation is generally used to determine the parameters to be measured based on the sensitivity of each parameter to one particular feature of the output reflective spectrum of the interferometric system. One of the disadvantages of this method is that the measurement ranges will be very short if the sensitivities are not linear or if these present cross-sensitivity. In this work, a multiple regression model for the simultaneous detection of refractive index and temperature based on an interferometric optical sensor is proposed. Here, the mathematical model is a weighted sum of features used to estimate the values of two response variables. These features are functions of an initial set of 27 explanatory variables whose values were extracted of the output reflective spectrum of the interferometric system. Besides, in order to sustenance the model application, the sensor was modeled and experimentally carried out. Three cases were studied: the estimation of temperature at different refractive indices, the estimation of temperature when refractive index is equal to one, and the estimation of refractive index at different temperatures. For each one of these cases, an optimal basis of functions was founded with the algorithm proposed and used to estimate the values of the response variables. Besides, a technique to reduce the initial set of variables was implemented. Finally, for the experimental data, For each one of these cases, an optimal basis of functions was founded with the algorithm 1 proposed and used to estimate the values of the response variables.

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Recent advancements and future challenges in hybrid optical fiber interferometers

Lashari

Mumtaz

Zhou

et al. 2023

Optik

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Sensing Characteristics of Fiber Fabry-Perot Sensors Based on Polymer Materials

Cited by 10 publications

References 31 publications

A Review of Optical Fiber Sensing Technology Based on Thin Film and Fabry–Perot Cavity

A Review of Optical Fiber Sensing Technology Based on Thin Film and Fabry–Perot Cavity

Application of a Multiple Regression Model for the Simultaneous Measurement of Refractive Index and Temperature Based on an Interferometric Optical System

Recent advancements and future challenges in hybrid optical fiber interferometers

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