Ultra-Small Fiber Bragg Grating Accelerometer

Li, Kuo; Liu, Guoyong; Li, Yuqing; Yang, Jun; Ma, Wing-Kin

doi:10.3390/app9132707

Cited by 9 publications

(5 citation statements)

References 17 publications

(43 reference statements)

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“…Both the numerical and empirical data generated 5 Hz forcing frequency and a steady increment of base acceleration. In contrast to Li et al [13], Liu et al [14] computed the sensitivity of symmetrical bended spring plates FBG accelerometer using: (i) numerical data at a single maximum base acceleration of 1 m/s 2 at two forcing frequencies of 5 and 10 Hz; and (ii) empirical data at maximum base acceleration within the range of 1-6 m/s 2 and at forcing frequencies of 5, 10, 15, and 20 Hz (see Fig. 1).…”

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confidence: 70%

“…Meanwhile, there are two process methods for determining the sensitivity of the FBG accelerometer: (i) Prediction of the sensitivity using numerical data computed from the mathematical model of the FBG accelerometer; and (ii) Sensitivity identification using empirical data obtained from real acceleration measurement. Li et al [13] has proposed an ultrasmall FBG accelerometer and its sensitivity from the numerical and empirical data was found to be 244 pm/g and 633 pm/g, respectively. Both the numerical and empirical data generated 5 Hz forcing frequency and a steady increment of base acceleration.…”

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confidence: 99%

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Sensitivity Identification of Low-frequency Cantilever Fibre Bragg Grating Accelerometer

Khalid,

Hassan

2021

IJIE

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Vibration response of low-frequency cantilever fibre Bragg grating (FBG) accelerometer produced by Euler–Bernoulli model (namely FBG-MM model) is found to be frequency-dependent, unsimilar to SDOF model. Therefore, the sensitivity of the cantilever FBG accelerometer could not be identified using polynomial or basic fitting methods. This paper presents the use of cascade-forward backpropagation neural network (CFB) to predict the sensitivity of the cantilever FBG accelerometer in a "black box", which refers to the behaviour of the deep neuralnetwork. The inputs of the network are maximum base accelerations and forcing frequencies, which was set between 20 and 90 Hz (below than the first fundamental frequency of the proposed FBG accelerometer), while the output is the wavelength shift. The validation results show that the wavelength shift predicted by the trained CFB demonstrates good agreement with the FBG-MM, with the input parameter within the range of that used in training process. In addition, results also show that the trained CFB would be invalid if the input parameter is out of the range of that used in training process. In real acceleration measurement, since the forcing frequency is unknown beforehand, the trained CFB must be re-trained by considering the maximum base accelerations are embedded with forcing frequencies.

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confidence: 70%

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confidence: 99%

Sensitivity Identification of Low-frequency Cantilever Fibre Bragg Grating Accelerometer

Khalid,

Hassan

2021

IJIE

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“…Weight is another factor to consider in the applications of FBG based accelerometers. In 2018, Galv et al 83 developed a low-weight accelerometer for structural health monitoring in the field of aerospace by combining the FBG and Additive Manufacturing (AM) processes. As shown in Fig.…”

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confidence: 99%

Review of micromachined optical accelerometers: from m<i>g</i> to sub-μ<i>g</i>

Wang

et al. 2021

OEA

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Micro-Opto-Electro-Mechanical Systems (MOEMS) accelerometer is a new type of accelerometer which combines the merits of optical measurement and Micro-Electro-Mechanical Systems (MEMS) to enable high precision, small volume and anti-electromagnetic disturbance measurement of acceleration. In recent years, with the in-depth research and development of MOEMS accelerometers, the community is flourishing with the possible applications in seismic monitoring, inertial navigation, aerospace and other industrial and military fields. There have been a variety of schemes of MOEMS accelerometers, whereas the performances differ greatly due to different measurement principles and corresponding application requirements. This paper aims to address the pressing issue of the current lack of systematic review of MOEMS accelerometers. According to the optical measurement principle, we divide the MOEMS accelerometers into three categories: the geometric optics based, the wave optics based, and the new optomechanical accelerometers. Regarding the most widely studied category, the wave optics based accelerometers are further divided into four sub-categories, which is based on grating interferometric cavity, Fiber Bragg Grating (FBG), Fabry-Perot cavity, and photonic crystal, respectively. Following a brief introduction to the measurement principles, the typical performances, advantages and disadvantages as well as the potential application scenarios of all kinds of MOEMS accelerometers are discussed on the basis of typical demonstrations. This paper also presents the status and development tendency of MOEMS accelerometers to meet the ever-increasing demand for high-precision acceleration measurement.

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“…Jiang et al developed a three-axis FBG accelerometer based on a pull-push mechanism and achieved a sensitivity of 0.068 V g −1 in a measured full scale of ±2.5 m s −2 [12]. Kuo et al designed an ultra-small FBG accelerometer with a vibration arm of 7 mm and achieved a sensitivity of 633 pm g −1 FBG wavelength shift at 67 Hz [13]. Liu et al designed a high sensitivity FBG-based accelerometer exhibiting a flat frequency response up to 441 Hz and a crossaxis sensitivity of less than 3.6% [14].…”

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confidence: 99%

Micro-machining of in-fibre 45° mirror optical fibre cantilever for dual-axis acceleration measurement

Li¹,

Li²,

Zhang³

et al. 2023

Meas. Sci. Technol.

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Focused Ion Beam (FIB) machining has been demonstrated to be capable of fabricating nano and micro-structure elements. In this paper we demonstrate techniques to design and fabricate 45˚ micro-mirrors into the end of multi-core fibers (MCF) using FIB processing. The mirrors are finished by a two-step process: a scanning process which is used to make a rough cut followed by a polishing process to create an optical surface finish mirror. The machined 45˚mirrors can be accurately aligned with optical fiber cores, which avoid issues associated with the alignment of external turning mirror components. Proof-of-concept demonstration shows that the fabricated structure is capable of measuring two axes acceleration interferometrically with a linear acceleration range from 0.2 g to 4 g and an r.m.s. error of 0.03 g. Acceleration measurements of frequency response up to 700 Hz and cross-sensitivity of ~4.2% are demonstrated.

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Ultra-Small Fiber Bragg Grating Accelerometer

Cited by 9 publications

References 17 publications

Sensitivity Identification of Low-frequency Cantilever Fibre Bragg Grating Accelerometer

Sensitivity Identification of Low-frequency Cantilever Fibre Bragg Grating Accelerometer

Review of micromachined optical accelerometers: from m<i>g</i> to sub-μ<i>g</i>

Micro-machining of in-fibre 45° mirror optical fibre cantilever for dual-axis acceleration measurement

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