Refractive index desensitized optical fiber temperature sensor

Maya, Yamile Cardona; Botero-Cadavid, Juan F.

doi:10.17533/udea.redin.n85a08

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…As the R spectrum is affected by n 4 and T, it was performed a simulation considering that both variables change simultaneously. This can be of interest for different applications for which the refractive index of the material changes with the temperature [20][21][22]. Ideally, for a filter with a intensity distributions of the reflected patterns spectrum with only a main FSR, the amplitude of the fringes must depend only on the refractive index n 4 and the wavelength shifting on the temperature.…”

Section: Simultaneous Refractive Index and Temperature Effectsmentioning

confidence: 99%

Optical Fiber FP Sensor for Simultaneous Measurement of Refractive Index and Temperature Based on the Empirical Mode Decomposition Algorithm

Rodríguez

Guzmán-Chávez

Baeza-Serrato

et al. 2020

Sensors

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In this work, a dual refractive index and temperature sensor based on an interferometric system and on the empirical mode decomposition (EMD) algorithm is presented. Here, it is shown that the EMD provides a comprehensive way to analyze and decompose complex reflection spectra produced by an interferometric filter build at the tip of an optical fiber. By applying the EMD algorithm, the spectrum can be decomposed into a set of intrinsic mode functions (IMF) from which the temperature and the refractive index can be easily extracted. Moreover, the proposed methodology provides a detailed insight of the behavior of this type of interferometric sensors and allows widening of the dynamic measurement ranges of both variables. Here, for proof of principle purposes, a filter based on a stack of three layers (two of them were thermo-sensitive) was fabricated. Finally, it is shown that the proposed methodology can decompose the experimental measured spectra and to determine the refractive index and the temperature, supporting the mathematical model.

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Section: Simultaneous Refractive Index and Temperature Effectsmentioning

confidence: 99%

Optical Fiber FP Sensor for Simultaneous Measurement of Refractive Index and Temperature Based on the Empirical Mode Decomposition Algorithm

Rodríguez

Guzmán-Chávez

Baeza-Serrato

et al. 2020

Sensors

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“…us, the inverse modeling of temperature distribution can produce a more reliable integrity report [19][20][21][22]. e objective of this paper is to address the advantages of our proposed optical-fiber-based TIP method regarding its inverse modeling of temperature distribution of defected concrete shaft by having high resolution spatial temperature data.…”

Section: Introductionmentioning

confidence: 99%

Optical‐Fiber‐Based Smart Concrete Thermal Integrity Profiling: An Example of Concrete Shaft

Zhong

Guo

Deng

2018

Advances in Materials Science and Engineering

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Concrete is currently the most widely used construction material in the world. The integrity of concrete during the pouring process could greatly affect its engineering performance. Taking advantage of heat production during the concrete curing process, we propose an optical-fiber-based thermal integrity profiling (TIP) method which can provide a comprehensive and accurate evaluation of the integrity of concrete immediately after its pouring. In this paper, we use concrete shaft as an example to conduct TIP by using the optical fiber as a temperature sensor which can obtain high spatial resolution temperature data. Our method is compared with current thermal infrared probe or embedded thermal sensor-based TIP for the concrete shaft. This innovation makes it possible to detect defects inside of the concrete shaft with thorough details, including size and location. First, we establish a 3D shaft model to simulate temperature distribution of concrete shaft. Then, we extract temperature distribution data at the location where the optical fiber would be installed. Based on the temperature distribution data, we reconstruct a 3D model of the concrete shaft. Evaluation of the concrete integrity and the existence of the potential defect are shown in the paper. Overall, the optical-fiber-based TIP method shows a better determination of defect location and size.

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Analysis effect of temperature changes on measurement of oil viscosity based on plastic optical fibres sensor and microcontroller

Abdullah

Yunus

Arifin

2019

J. Phys.: Conf. Ser.

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Testing of sensor based on plastic optical fiber can be applied to analyze the effect of temperature changes on the measurement of oil viscosity. This measurement uses gamma configuration at length of 3 cm peel on a plastic optical fiber sensor with cladding and without cladding. Testing of sensor on measurement of oil viscosity is using a microcontroller to determine the effect of temperature on the sensor output voltage. The output voltage of the differential amplifier in the form of an analog signal converted to a digital signal by the microcontroller and displayed on the computer. The output voltage increases with the increase of temperature changes occurring in the oil sample. The best results were obtained on sensor without cladding with the value 4.85 mV/°C. Measurement of the effect of temperature changes on oil viscosity based on plastic optical fiber sensor has advantages such as simple measurement system, low cost, easy fabrication and can be connected to computer.

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Refractive index desensitized optical fiber temperature sensor

Cited by 5 publications

References 10 publications

Optical Fiber FP Sensor for Simultaneous Measurement of Refractive Index and Temperature Based on the Empirical Mode Decomposition Algorithm

Optical Fiber FP Sensor for Simultaneous Measurement of Refractive Index and Temperature Based on the Empirical Mode Decomposition Algorithm

Optical‐Fiber‐Based Smart Concrete Thermal Integrity Profiling: An Example of Concrete Shaft

Analysis effect of temperature changes on measurement of oil viscosity based on plastic optical fibres sensor and microcontroller

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