Computational Modeling of Optical Fiber-Based Magnetic Field Sensors Using the Faraday and Kerr Magnetooptic Effects

Silva, Allamys Allan Dias da; Alves, Henrique Patriota; Marcolino, Felipe Camargo; Nascimento, Jehan Fonsêca do; Martins-Filho, Joaquim F.

doi:10.1109/tmag.2020.3010108

Cited by 12 publications

(6 citation statements)

References 30 publications

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“…Thus, to optimize the sensor sensitivity, a specific combination of the polarization angle of the input optical signal and the thickness of the magnetic material is needed. Following the procedure described in [13], a simulation study can be performed to optimize the structure to operate in the range of 0 to 0.2 T, Ce:YIG saturation field [21], and the configuration with 10º polarization of the input optical signal and 4.3 µm thickness of Ce:YIG is selected. This region is selected because it has high sensitivity, approximately constant throughout the operating range.…”

Section: Resultsmentioning

confidence: 99%

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Computational Modeling of Magnetic Field Optical Fiber Sensor Considering Temperature Effects

Silva

Oliveira

Alves

et al. 2023

J. Microw. Optoelectron. Electromagn. Appl.

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Due to the vast area of application and reliability, fiber optic magnetic field sensors have been the subject of several studies, however, some of these application areas are submitted to temperature variations, which can hinder the sensors in monitoring the magnetic field. With this panorama, this work analyzes through computational modeling a fiber optical magnetic field sensor, using the magneto-optical Faraday effect and observing temperature effects in the sensor response. For modeling, a numerical model built in COMSOL Multiphysics is used. The results show a value for cross-sensitivity of 3.27 mT/°C in a non-optimized configuration of the sensor and of 2.47 mT/°C for an optimized configuration. A methodology for optimizing the sensor to operate in a certain temperature range, 55 to 75 °C, is also discussed. The results presented in this work show that the temperature is an important factor to be considered to improve the selectivity and to obtain the correct sensitivity of the sensor.

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Section: Resultsmentioning

confidence: 99%

“…The optimization procedure and results presented in [13] were generated considering that the transducer is at room temperature (25 °C). However, there are situations in which the sensor can be under considerable temperature variations throughout the day, such as, for example, inside a power transformer [12].…”

Section: Resultsmentioning

confidence: 99%

Computational Modeling of Magnetic Field Optical Fiber Sensor Considering Temperature Effects

Silva

Oliveira

Alves

et al. 2023

J. Microw. Optoelectron. Electromagn. Appl.

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“…Richard Forber et al fabricated an ultra-small magnetic field sensor using bismuth-doped rare earth iron garnet (Bi:RIG), which can detect magnetic field intensity as low as 11 A/m [86]. Joaquim F. Martins-Filho et al proposed a sensor based on cerium-doped yttrium iron garnet (Ce:YIG) with a dynamic magnetic field intensity sensing range up to 0.2 T [87]. In addition to these magneto-optical crystals, Joseba Zubia et al developed a new low-cost optical current sensor using magneto-optical glass (Flint glass SF2), as shown in Fig.…”

Section: Magnetic Field Sensor Based On Magneto-optical Materialsmentioning

confidence: 99%

Fiber structures and material science in optical fiber magnetic field sensors

Zhang

Wang

Chen

et al. 2022

Front. Optoelectron.

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Magnetic field sensing plays an important role in many fields of scientific research and engineering applications. Benefiting from the advantages of optical fibers, the optical fiber-based magnetic field sensors demonstrate characteristics of light weight, small size, remote controllability, reliable security, and wide dynamic ranges. This paper provides an overview of the basic principles, development, and applications of optical fiber magnetic field sensors. The sensing mechanisms of fiber grating, interferometric and evanescent field fiber are discussed in detail. Magnetic fluid materials, magneto-strictive materials, and magneto-optical materials used in optical fiber sensing systems are also introduced. The applications of optical fiber magnetic field sensors as current sensors, geomagnetic monitoring, and quasi-distributed magnetic sensors are presented. In addition, challenges and future development directions are analyzed. Graphical Abstract

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“…The Gaussian profile beam is produced using a scattering boundary condition on the left edge of the optical fibers in Fig. 2, with a shape given by [28]…”

Section: B Numerical Modelmentioning

confidence: 99%

“…1 is calculated using a transmission coefficient, obtained from parameter S 21 [24]. The total transmission of light passing through the D-shaped region is given by [24,28]:…”

Section: B Numerical Modelmentioning

confidence: 99%

Analysis of D-Shaped Optical Fiber based Corrosion Sensor Using LMR and SPR Effects

Júnior

Nascimento

Martins-Filho

2021

J. Microw. Optoelectron. Electromagn. Appl.

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This article presents the proposed structure and the simulation results from analytical and numerical modeling of two corrosion sensor elements in D-shaped optical fiber: one based on the lossy mode resonance (LMR) effect and the other based on the effect of surface plasmon resonance (SPR). In the first sensor element, a bilayer of titanium dioxide -aluminum (TiO 2 -Al) is deposited on the D-shaped region, operating in LMR conditions, while, in the second sensor element, an aluminum(Al) monolayer is deposited under D-shaped region, operating in SPR condition. The sensor elements can operate separately, enabling simultaneous twoparameter measurements at two different points, or they can operate in cascade configuration, increasing the operating range and sensitivity of the sensor set. The D-shaped region of the optical fiber is modeled with an analytical model based on the Fresnel formulation, and also with a numerical model, which uses the finite element method with the COMSOL Multiphysics 5.2 software. The transmission of light through the D-shaped region causes peculiar variations in each light polarization in each sensor element, depending on the metal thickness. Both regions are subject to a corrosive environment. The sensor elements are evaluated separately and in cascade configuration, using polarized and nonpolarized light. Finally, the obtained results show two resonance valleys for the same operating wavelength, resulting in a higher operating range with high sensitivity, compared to other corrosion sensor structures found in the literature.

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Computational Modeling of Optical Fiber-Based Magnetic Field Sensors Using the Faraday and Kerr Magnetooptic Effects

Cited by 12 publications

References 30 publications

Computational Modeling of Magnetic Field Optical Fiber Sensor Considering Temperature Effects

Computational Modeling of Magnetic Field Optical Fiber Sensor Considering Temperature Effects

Fiber structures and material science in optical fiber magnetic field sensors

Analysis of D-Shaped Optical Fiber based Corrosion Sensor Using LMR and SPR Effects

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