Non-adiabatic silica microfiber for strain and temperature sensors

Muhammad, Mohd Zulkifli; Jasim, Ali Abdulhadi; Ahmad, Harith; Arof, Hamzah; Harun, Sulaiman Wadi

doi:10.1016/j.sna.2012.12.036

Cited by 43 publications

(21 citation statements)

References 13 publications

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“…The accuracy and performance of the three models using i) absorption only ii) attenuation wavelength shift only and iii) the average of the two, are tested in measuring RBB analytes with concentrations ranging from 50 to 250 ppm. The difference between the actual and predicted dye concentrations were evaluated according to correlation coefficient (R 2 ), root mean square error (RMSE) and mean absolute percentage error (MAPE), as stated in (4), (5) and (6), respectively.…”

Section: Sensor Fabrication and Operating Principlementioning

confidence: 99%

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Dual Output Approach in Dye Concentrations Determination Using Non-Adiabatic Tapered Fiber

et al. 2015

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A non-adiabatic tapered optical fiber sensor based on interferometric approach was developed by tapering a singlemode fiber using flame brushing technique. Two output variables in the form of absorption and spectral shift were used to infer the dye concentration of an analyte containing Remazol Black B. The system could measure the dye concentration of the analyte within a range of 50 to 250 ppm with sufficient sensitivity and configurability. A sensitivity of 7.61 × 10 −5 abs/ppm and 0.0045 nm/ppm was obtained for the output derived from the absorption of light and spectral shift, respectively. A new predictive model was formulated by combining the predicted dye concentrations of absorption and spectral shift with equal weightings. Then, an experiment was performed to measure the accuracy of the models that use absorption, spectral shift, and their combination to predict the concentration of an analyte in the range of 50 to 250 ppm. The differences between the actual and the predicted dye concentration values were evaluated in terms of the correlation coefficient (R 2 ), root-mean-square error (RMSE), and mean absolute percentage error (MAPE), respectively. The results show that by combining the two parameters, a better estimate (R 2 = 0.9875, RMSE = 7.6761, MAPE = 4.1257) of the dye concentration with higher correlation and lower error can be achieved. Finally, an additional experiment is conducted to validate the accuracy of the sensors.

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Section: Sensor Fabrication and Operating Principlementioning

confidence: 99%

“…They are commonly used for monitoring physical quantities like acoustic vibration [3], refractive index [4], strain and temperature [5]. They can be used to monitor biological processes and chemical compounds such as antimicrobial activity [6], α-amino acids in aqueous [7] and can even operate in magnetic fluid [8].…”

Section: Introductionmentioning

confidence: 99%

Dual Output Approach in Dye Concentrations Determination Using Non-Adiabatic Tapered Fiber

et al. 2015

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“…Fiber optic sensors have enticed a considerable research attention and have been extensively used to detect the refractive index [1], temperature [2], magnetic field [3] , gases [4], current [5], strain [6], and other parameters due to their special properties of smaller size, electromagnetic immunity, low attenuation, high response to surrounding environmental, and low cost. Many kinds of optical fiber techniques have been used as strain sensors like Fiber Bragg Grating [7], Fabry-Perot interferometer [8], displacement sensor using multimode interference technique by splicing a section of multimode fiber to single mode fiber [9] and IMZI with an inner air cavity along the fiber length or photonic crystal fiber [10,11].…”

Section: Introductionmentioning

confidence: 99%

Tunable single wavelength erbium-doped fiber ring laser based on in-line Mach-Zehnder strain

Jaddoa

Razak

Salim

et al. 2016

Optik

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“…However, fabricating FBGs and PM-PCF generally require special fibers, polymer coating and expensive equipment for writing and coating. Compared to the above approaches, optical sensors based on microfibers have attracted more and more attention due to their advantages of smaller size, higher sensitivity, faster response, lower cost and simpler fabrication, which have been widely used in physical [11][12][13][14] and biochemical sensing fields [15,16]. As a typical structure of microfiber sensor, microfiber knot resonator (MKR) has been proved sensitive to the surroundings and been successfully used in refractive index (RI) [17][18][19], humidity [20,21], temperature [22,23], magnetic field [24], electric current [25] and UV [26] sensing.…”

Section: Introductionmentioning

confidence: 99%