带挠性轴承的高灵敏度 FBG 加速计的设计与分析

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Measurement Pub Date : 2024-10-28 DOI:10.1016/j.measurement.2024.116093
Yun Wang, Yutang Dai, Minghui Lu, Jianguan Tang, Minghong Yang
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引用次数: 0

摘要

为了满足 FBG 加速计日益增长的高精度测量和小型化需求,本文提出了一种基于挠性轴承的高灵敏度 FBG 加速计。挠性轴承的螺旋形通槽显著提高了膜片式 FBG 加速计的灵敏度,同时继承了其简单的结构和紧凑的尺寸。首先,推导出了加速度计的理论模型。随后,为加速度计选择了一组优化尺寸,并使用有限元法对其进行了研究。最后,通过一系列校准测试验证了加速度计的测量性能。结果表明,加速度计的灵敏度达到 379.8 pm/g(20 Hz 时),谐振频率约为 230 Hz,横轴灵敏度小于主轴的 7.3%。这种新型加速度计具有结构紧凑、体积小等优点,有望扩大光纤加速度计的应用范围。
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Design and analysis of a high-sensitivity FBG accelerometer with a flexural bearing
To address the increasing demand for high-precision measurement and miniaturization in FBG accelerometers, this paper proposes a high-sensitivity FBG accelerometer based on a flexural bearing. The spiral-shaped through-grooves of the flexural bearing significantly enhance the sensitivity of the diaphragm-type FBG accelerometer while inheriting its simple structure and compact size. Initially, the theoretical model of the accelerometer was derived. Subsequently, a set of optimized dimensions for the accelerometer was selected and investigated using the finite element method. Finally, the measurement performance of the accelerometer was verified through a series of calibration tests. The results showed that the accelerometer achieved a sensitivity of 379.8 pm/g (at 20 Hz) and a resonant frequency of around 230 Hz, with a cross-axis sensitivity of less than 7.3 % of the main axis. Leveraging the advantages of a compact structure, small volume, and, this novel accelerometer holds promise for expanding the application of fiber optic accelerometers.
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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