Bi-core optical fiber for sensing of temperature, strain and torsion

Ribeiro, A. B. Lobo; Silva, Susana; Frazão, Orlando; Santos, J. L.

doi:10.1088/1361-6501/ab035b

Cited by 6 publications

(6 citation statements)

References 21 publications

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“…In 2019, Lobo Ribeiro et al [51] proposed a reflective bicore fiber structure for strain, temperature, and torsion sensing (figure 2(e)). The bi-core fiber was spliced to an SMF, where the optical power transmitted through the SMF was coupled equally into the two cores and continued propagating and coupling between both cores over the bi-core fiber.…”

Section: Temperature and Strain Sensorsmentioning

confidence: 99%

Multimode optical fiber sensors: from conventional to machine learning-assisted

Wang,

Mizuno,

Dong

et al. 2023

Meas. Sci. Technol.

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Multimode fiber (MMF) sensors have been extensively developed and utilized in various sensing applications for decades. Traditionally, the performance of MMF sensors was improved by conventional methods that focused on structural design and specialty fibers. However, in recent years, the blossom of machine learning techniques has opened up new avenues for enhancing the performance of MMF sensors. Unlike conventional methods, machine learning techniques do not require complex structures or rare specialty fibers, which reduces fabrication difficulties and lowers costs. In this review, we provide an overview of the latest developments in MMF sensors, ranging from conventional methods to those assisted by machine learning. This article begins by categorizing MMF sensors based on their sensing applications, including temperature and strain sensors, displacement sensors, refractive index sensors, curvature sensors, bio/chemical sensors, and other sensors. Their distinct sensor structures and sensing properties are thoroughly reviewed. Subsequently, the machine learning-assisted MMF sensors that have been recently reported are analyzed and categorized into two groups: learning the specklegrams and learning the spectra. The review provides a comprehensive discussion and outlook on MMF sensors, concluding that they are expected to be utilized in a wide range of applications.

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Section: Temperature and Strain Sensorsmentioning

confidence: 99%

Multimode optical fiber sensors: from conventional to machine learning-assisted

Wang,

Mizuno,

Dong

et al. 2023

Meas. Sci. Technol.

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“…Optical fiber sensors are an important part of modern sensors. They have the advantages of small volume, anti-electromagnetic interference, multi-parameter sensing, high safety and remote monitoring [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ]. These characteristics make them very suitable for application in the fields of biomedicine, the petrochemical industry, aerospace, etc.…”

Section: Introductionmentioning

confidence: 99%

Fabrication and Sensing Application of Phase Shifted Bragg Grating Sensors

Sun

Zeng

et al. 2022

Materials

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As a special kind of Bragg grating, phase-shifted fiber Bragg grating (PS-FBG) has attracted extensive attention because of its extremely narrow transmission window and excellent sensing performance. The main purpose of this manuscript is to discuss the PS-FBG with special sensing characteristics and explore the influence of different inscription technologies on the sensing characteristics of PS-FBG by comparing the existing inscription methods. The sensing characteristics, advantages and disadvantages of PS-FBG with different structures are analyzed.

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“…Moreover, a theoretical model was developed to predict the distance that is intended to be measured by the sensor [30]. Spectral characteristics and performance of the bi‐core optical fibre were studied practically in both reflective and transmissive configurations [31]. Jonas Verkelis et al.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, a theoretical model was developed to predict the distance that is intended to be measured by the sensor [30]. Spectral characteristics and performance of the bi-core optical fibre were studied practically in both reflective and transmissive configurations [31]. Jonas Verkelis et al studied the impact of the distance between the receiving fibres on the sensitivity of the twin receiving fibre (bicore) displacement sensor both theoretical analysis and experimental investigations.…”

mentioning

confidence: 99%

Performance analysis of transmissive modified cladding optical fibre sensors

Jahromi

2021

IET Optoelectronics

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Optical fibre sensors with modified cladding have been a topic of great interest for decades. Thanks to the new techniques of fabricating nanostructured films, this interest has been renewed. Although there have been many increases in published experimental research, no comprehensive theoretical formulation of the structure is reported in the literature. In this study, a general theory for transmissive modified cladding optical fibre sensors is presented. The model is formulated based on the electromagnetic fields and optical power in the core and cladding of a step-index fibre. The model considers various parameters, especially the radius of the optical fibre core, modified cladding refractive index, and light wavelength. The sensitivity, response, and optical transmission of the sensor are analysed as a function of the parameters. The analyses show that optical transmission reduces dramatically when the modified cladding refractive index approaches the refractive index of the core of the fibre and results in higher sensor response and sensitivity. Increasing the core radius of the fibre will result in lower sensor response with higher sensitivity. Both parameters will increase for a light with a larger wavelength. The results are in good agreement with experimental evidence.

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Bi-core optical fiber for sensing of temperature, strain and torsion

Cited by 6 publications

References 21 publications

Multimode optical fiber sensors: from conventional to machine learning-assisted

Multimode optical fiber sensors: from conventional to machine learning-assisted

Fabrication and Sensing Application of Phase Shifted Bragg Grating Sensors

Performance analysis of transmissive modified cladding optical fibre sensors

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