Strength properties of femtosecond-induced defects and weak Bragg gratings for distributed optical fiber sensors

Butov, Oleg V.; Przhiialkovskii, Dmitrii; Lopunov, A.I.; Pnev, Alexey B.

doi:10.1016/j.optlastec.2023.109271

Cited by 4 publications

(2 citation statements)

References 59 publications

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“…Since phase is a dimensionless quantity, the change in the optical path is normalized to the wavelength of the radiation, thus allowing the change in the optical path to be compensated by altering the wavelength and vice versa. From these considerations, the well-known relation used for Bragg gratings in SMF28 fiber,

, is derived [ 27 , 28 ]. This ratio determines the relative shift of the Bragg peak reflection

under deformation

.…”

Section: Materials and Methodsmentioning

confidence: 99%

Novel Approach to Phase-Sensitive Optical Time-Domain Reflectometry Response Analysis with Machine Learning Methods

Yatseev,

Butov,

Pnev

2024

Sensors

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This paper is dedicated to the investigation of the metrological properties of phase-sensitive reflectometric measurement systems, with a particular focus on addressing the non-uniformity of responses along optical fibers. The authors highlight challenges associated with the stochastic distribution of Rayleigh reflectors in fiber optic systems and propose a methodology for assessing response non-uniformity using both cross-correlation algorithms and machine learning approaches, using chirped-reflectometry as an example. The experimental process involves simulating deformation impact by altering the light source’s wavelength and utilizing a chirped-reflectometer to estimate response non-uniformity. This paper also includes a comparison of results obtained from cross-correlation and neural network-based algorithms, revealing that the latter offers more than 34% improvement in accuracy when measuring phase differences. In conclusion, the study demonstrates how this methodology effectively evaluates response non-uniformity along different sections of optical fibers.

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, is derived [ 27 , 28 ]. This ratio determines the relative shift of the Bragg peak reflection

under deformation

.…”

Section: Materials and Methodsmentioning

confidence: 99%

Novel Approach to Phase-Sensitive Optical Time-Domain Reflectometry Response Analysis with Machine Learning Methods

Yatseev,

Butov,

Pnev

2024

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Fiber-optical sensors have emerged as a promising candidate for liquid refractive index sensing due to their attractive advantages, such as flexible structural design, ease of integration, and immunity to electromagnetic interference [1][2][3][4]. Nowadays, various fiber sensing configurations based on different optical mechanisms have been designed for measuring liquid RI, including long period grating [5][6][7], fiber Bragg grating [8][9][10], microfiber resonator [11][12][13], microstructure fiber [14][15][16], and mode interferometer [17][18][19]. However, the * Author to whom any correspondence should be addressed.…”

Section: Introductionmentioning

confidence: 99%

Vernier-effect-based fiber microcoupler for highly sensitive liquid refractive index sensing

Sun,

Wu,

Song

et al. 2024

Meas. Sci. Technol.

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An orthogonal mode interferometer (OMI) is proposed and experimentally demonstrated for liquid refractive index sensing using the optical Vernier effect. The OMIs are based on weakly fiber microcouplers, which are fabricated by fusing single mode fiber and coreless fiber together. Owing to the birefringent characteristic of the hybrid coupler, the optical Vernier effect is dependent on the overlap of mode interference between the x and y polarizations. Compared to the response of the individual resonance dip, the signal demodulation of the Vernier envelope exhibits more excellent signal amplification capability. Experimental results show that the Vernier envelope of the OMI achieves a refractive index (RI) sensitivity of 22427.03 nm/RIU near the RI of 1.33 with a magnification factor of 4.1. Moreover, with its high sensitivity, flexible design and simplified configuration, our proposed OMI based on the optical Vernier effect is well suitable for a wide range of biosensing applications.

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Microsphere-Augmented PDMS integration in tapered FBG small-scale sensors for enhanced temperature sensitivity

Sanipatin,

Sánchez,

Arqués

et al. 2024

Sci Rep

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This work presents a novel high-sensitivity temperature sensor based on a fiber Bragg grating inscribed on a tapered optical fiber which terminates in a microsphere, all embedded within a PDMS-filled silica capillary. The fabricated microsphere at the taper’s end enhances PDMS traction, improving strain transfer between the polymer and the fiber during temperature changes. Different waist diameters for the tapered fiber were considered for the design of the sensor. The sensor’s response was analyzed over a temperature range of 20 °C to 90 °C for taper waist diameters ranging from 60 μm to 20 μm. Experimental results demonstrate a wavelength temperature sensitivity of 47.19 pm °C⁻ 1 for a 60 μm waist diameter and 221.2 pm °C⁻ 1 for a 20 μm waist diameter, achieving up to 22 times the sensitivity of a bare FBG. The experimental results were supported by finite element analysis simulations, which showed a clear correlation between the enhanced sensitivity and the increase in axial strain applied by the PDMS on the embedded fiber. This enhancement in sensitivity was demonstrated by housing the fiber in a capillary, integrating the microsphere at the end of the fiber, and diminishing the fiber taper’s diameter. Moreover, unlike traditional techniques aimed at enhancing the thermal sensitivity of fiber Bragg gratings, the sensor developed through this innovative approach exhibits enhanced performance regarding both dimensions and sensitivity.

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Strength properties of femtosecond-induced defects and weak Bragg gratings for distributed optical fiber sensors

Cited by 4 publications

References 59 publications

Novel Approach to Phase-Sensitive Optical Time-Domain Reflectometry Response Analysis with Machine Learning Methods

Novel Approach to Phase-Sensitive Optical Time-Domain Reflectometry Response Analysis with Machine Learning Methods

Vernier-effect-based fiber microcoupler for highly sensitive liquid refractive index sensing

Microsphere-Augmented PDMS integration in tapered FBG small-scale sensors for enhanced temperature sensitivity

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