Evanescent Fiber Sensor for Determining Water Content in Polar Organic Solvents

2013 ◽  
Vol 756-759 ◽  
pp. 724-727
Author(s):  
Yi Ping Wang ◽  
Fei Bing Xiong ◽  
Wen Zhang Zhu

The feasibility of sapphire fiber sensors based on evanescent absorption spectroscopy in the infrared range for determination of water content in polar organic solvents has been investigated. Evanescent absorption spectra of sapphire fiber sensors in glycerol, ethanol and glycol with different volume concentrations were recorded and analyzed, respectively. Evanescent absorbance around 2.7μm of fiber sensors in those organic solvents has been utilized to implement for in situ monitoring water concentration in organic solvents. The evanescent fiber sensors for monitoring water concentrations in those organic solvents are acceptably accurate, cost-effective and reliable. Overall results demonstrate that the sapphire fiber sensor based on evanescent absorption is a promising candidate for prediction of water content in polar organic solvents in on-line and remote situation.

2001 ◽  
Vol 75 (1-2) ◽  
pp. 43-47 ◽  
Author(s):  
Xin Yang ◽  
Cheng-Gang Niu ◽  
Zhao-Jie Shang ◽  
Guo-Li Shen ◽  
Ru-Qin Yu

2015 ◽  
Vol 7 (11) ◽  
pp. 4621-4628 ◽  
Author(s):  
Dawei Huang ◽  
Yongxin Bing ◽  
Hao Yi ◽  
Wei Hong ◽  
Cui Lai ◽  
...  

A stable and highly sensitive optical-fiber sensor based on time-gated fluorescence for water content determination in organic solvents was proposed in this paper.


2013 ◽  
Vol 543 ◽  
pp. 302-305
Author(s):  
Daniele Tosi ◽  
Massimo Olivero ◽  
Alberto Vallan ◽  
Guido Perrone

The paper analyzes the feasibility of cost-effective fiber sensors for the measurement of small vibrations, from low to medium-high frequencies, in which the complexity of the measurement is moved from expensive optics to cheap electronics without losing too much performance thanks to signal processing algorithms. Two optical approaches are considered: Bragg gratings in standard telecom fibers, which represent the most common type of commercial fiber sensors, and specifically developed sensors made with plastic optical fibers. In both cases, to keep the overall cost low, vibrations are converted into variations of the light intensity, although this makes the received signal more sensitive to noise. Then, adaptive filters and advanced spectral estimation techniques are used to mitigate noise and improve the sensitivity. Preliminary results have demonstrated that the combined effect of these techniques can yield to a signal-to-noise improvement of about 30 dB, bringing the proposed approaches to the level of the most performing sensors for the measurement of vibrations.


Author(s):  
Aradhya Dev Srivastav ◽  
Vireshwar Singh ◽  
Deepak Singh ◽  
Balendu Shekher Giri ◽  
Dhananjay Singh

2021 ◽  
pp. 109667
Author(s):  
Fang Hou ◽  
Xiaolei Liu ◽  
Xueying Hao ◽  
Guofei Li ◽  
Futai Lu ◽  
...  

1997 ◽  
Vol 503 ◽  
Author(s):  
F. Ansari ◽  
Z. Chen ◽  
Q. Li

ABSTRACTStructurally integrated optical fiber sensors form the basis for smart structure technology. Over the past decade a variety of sensor configurations have been developed for measurement of strains and deformations in structures. Strains and deformations alter the refractive index and the geometry of the optical fiber material. These changes perturb the intensity, phase, and polarization of the light-wave propagating along the probing fiber. The optical perturbations are detected for the determination of strain. The research presented here describes the development of a new optical fiber sensor system for measurement of structural strains based on white light interferometry. An optical switch provides for multiplexing of strain signals from various locations in the structure. Redundant Bragg grating type fiber optic sensors as well as strain gauges were employed for comparison and verification of strain signals as measured by the new system. The system provides capability for distributed sensing of strains in large structures.


Author(s):  
Masaki Narisawa ◽  
Satoshi Oda ◽  
Shuhei Kitano ◽  
Kiyohito Okamura

Holzforschung ◽  
2008 ◽  
Vol 62 (4) ◽  
Author(s):  
Torbjörn A. Lestander

Abstract Samples of wood pellets were adjusted into six water content classes from 0% to 12%. The water content in single pellets varied between 0.1% and 14.2%. Three equations were constructed to estimate the differential heat of sorption (-ΔH) values from (1) fractal-geometry, (2) isosteric, and (3) calorimetric data. The ranges in calculated -ΔH of single pellets were (1) 133–1475, (2) 315–881, and (3) 195–1188 J g-1 water, respectively, across the studied moisture content range. Partial least squares regression was used to model near-infrared (NIR) spectra from single pellets and to predict -ΔH values and water content. The explained variation in test sets for the different models ranged from 97.1% to 99.9%. The shifts in peak absorbance for two water bands indicated that frequency in overtone vibration of O-H stretching and bending decreased, when water content was raised. Simulations of mixes between pellets of differential heat values showed that released heat was up to 0.03% of the gross calorific value of wood pellets. This heat may be a major contributor to initial temperature increases in pellet stacks during storage. The results indicate that on-line NIR based predictions of differential heat in wood pellets is possible to apply in the pellet industry.


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