Air pressure measurement of circular thin plate using optical fiber multimode interferometer

Bai, Yufang; Zeng, Jie; Huang, Jiwei; Yan, Zhenfeng; Wu, Ya-xing; Li, Kaiyu; Wu, Qiang; Liang, Dakai

doi:10.1016/j.measurement.2021.109784

Cited by 6 publications

(3 citation statements)

References 33 publications

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“…Besides the traditional water-injection-based methods [4], the laser measurement method, orthogonal double-grating method [5], air pressure method [6], audio measurement method [7], and ultrasonic measurement method [8] have been reported by recent studies. These measurement methods have the following shortcomings: (1) complex hardware system, (2) high technical difficulty and low measurement efficiency, (3) significant error, and (4) complicated operation.…”

Section: Related Workmentioning

confidence: 99%

Power-Efficient Trainable Neural Networks towards Accurate Measurement of Irregular Cavity Volume

et al. 2022

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Irregular cavity volume measurement is a critical step in industrial production. This technology is used in a wide variety of applications. Traditional studies, such as waterflooding-based methods, have suffered from the following shortcomings, i.e., significant measurement error, low efficiency, complicated operation, and corrosion of devices. Recently, neural networks based on the air compression principle have been proposed to achieve irregular cavity volume measurement. However, the balance between data quality, network computation speed, convergence, and measurement accuracy is still underexplored. In this paper, we propose novel neural networks to achieve accurate measurement of irregular cavity volume. First, we propose a measurement method based on the air compression principle to analyze seven key parameters comprehensively. Moreover, we integrate the Hilbert–Schmidt independence criterion (HSIC) into fully connected neural networks (FCNNs) to build a trainable framework. This enables the proposed method to achieve power-efficient training. We evaluate the proposed neural network in the real world and compare it with typical procedures. The results show that the proposed method achieves the top performance for measurement accuracy and efficiency.

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Section: Related Workmentioning

confidence: 99%

Power-Efficient Trainable Neural Networks towards Accurate Measurement of Irregular Cavity Volume

et al. 2022

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“…Multimodal Interference (MMI) devices based on optical fibers have been extensively investigated and act as sensors in recent years for different applications, such as temperature [10], strain [11][12][13], air pressure [14], vibration [15], gasohol quality [16], structure health monitoring [17], flow rate [18,19], and so on. There exist several types of MMI structures, such as the Sagnac Interferometer [20], Fabry-Perot Interferometer [21], and Singlemode-Multimode-Singlemode (SMS) [22].…”

Section: Introductionmentioning

confidence: 99%

A Simple Optical Sensor Based on Multimodal Interference Superimposed on Additive Manufacturing for Diameter Measurement

Cardoso

Caldas

Giraldi

et al. 2022

Sensors

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In many areas, the analysis of a cylindrical structure is necessary, and a form to analyze it is by evaluating the diameter changes. Some areas can be cited: pipelines for oil or gas distribution and radial growth of trees whose diameter changes are directly related to irrigation and the radial expansion since it depends on the water soil deficit. For some species, these radial variations can change in around 5 mm. This paper proposes and experimentally investigates a sensor based on a core diameter mismatch technique for diameter changes measurement. The sensor structure is a combination of a cylindrical piece developed using a 3D printer and a Mach–Zehnder interferometer. The pieces were developed to assist in monitoring the diameter variation. It is formed by splicing an uncoated short section of MMF (Multimode Fiber) between two standard SMFs (Singlemode Fibers) called SMF-MMF-SMF (SMS), where the MMF length is 15 mm. The work is divided into two main parts. Firstly, the sensor was fixed at two points on the first developed piece, and the diameter reduction caused dips or peaks shift of the transmittance spectrum due to curvature and strain influence. The fixation point (FP) distances used are: 5 mm, 10 mm, and 15 mm. Finally, the setup with the best sensitivity was chosen, from first results, to develop another test with an optimization. This optimization is performed in the printed piece where two supports are created so that only the strain influences the sensor. The results showed good sensitivity, reasonable dynamic range, and easy setup reproduction. Therefore, the sensor could be used for diameter variation measurement for proposed applications.

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“…The singlemode–multimode–singlemode (SMS) fiber structure consisting of two identical single-mode fibers (SMFs) axially spliced at both ends of a multimode fiber (MMF) has the advantages of simple structure, ease of fabrication, and low cost. It has been successfully utilized to sense refractive index (RI) [ 1 , 2 , 3 ], strain or pressure [ 4 , 5 , 6 ], heart rate [ 7 ], temperature [ 8 , 9 , 10 , 11 ], and so on. In the SMS fiber structure, the light is launched into an SMF, then propagates to an MMF and becomes many excited modes which eventually couple back to another SMF and the mode interference occurs.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Temperature Performance of Singlemode-Multimode-Singlemode Fiber Structure

Zhang

Wang

Zhang

et al. 2022

Sensors

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A theoretical model for studying the temperature properties of singlemode-multimode-singlemode (SMS) fiber structure fabricated by absorptive multimode fiber (MMF) cladding is established. Moreover, an SMS-based temperature sensor is fabricated and experimentally demonstrated. Experimental results show that the dip wavelength of the transmission spectrum changes linearly with temperature, which is in good agreement with the simulated results obtained by using the model. Further, a comprehensive study of temperature characteristics affected by the thermo-optic effect, thermal expansion effect, and thermal effect of absorption characteristics is performed for SMS fiber optic structures with different refractive indexes, thermo-optic coefficients, and absorption properties of MMF cladding, MMF core diameters, and thermal expansion coefficients of packaging shell. According to the obtained rules, investigations are carried out into the thermal response of an SMS fiber structure resulting from combined thermal effects for temperature performance optimization. Excellent temperature stability with a temperature sensitivity of 0 pm/°C or good temperature sensitivity of −441.58 pm/°C is achieved accordingly.

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Air pressure measurement of circular thin plate using optical fiber multimode interferometer

Cited by 6 publications

References 33 publications

Power-Efficient Trainable Neural Networks towards Accurate Measurement of Irregular Cavity Volume

Power-Efficient Trainable Neural Networks towards Accurate Measurement of Irregular Cavity Volume

A Simple Optical Sensor Based on Multimodal Interference Superimposed on Additive Manufacturing for Diameter Measurement

Improvement of Temperature Performance of Singlemode-Multimode-Singlemode Fiber Structure

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