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借助微型惯性光机械传感器的机械特性建模来选择其几何参数

Choice of the Miniature Inertial Optomechanical Sensor Geometric Parameters with the Help of Their Mechanical Characteristics Modelling.

作者信息

Kumanchik Lee, Rezinkina Marina, Braxmaier Claus

机构信息

Department of Quantum Metrology, Institute for Quantum Technologies, German Aerospace Center (DLR e.V.), 2022 Wilhem-Runge-Straße 10, 89081 Ulm, Germany.

Institute for Microelectronics, University of Ulm, 2022 Albert-Einstein-Allee 43, 89081 Ulm, Germany.

出版信息

Micromachines (Basel). 2023 Sep 28;14(10):1865. doi: 10.3390/mi14101865.

DOI:10.3390/mi14101865
PMID:37893302
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10609610/
Abstract

In this paper, the mechanical characteristics of a miniature optomechanical accelerometer, similar to those proposed for a wide range of applications, have been investigated. With the help of numerical modelling, characteristics such as eigenfrequencies, quality factor, displacement magnitude, normalized translations, normalized rotations versus eigenfrequencies, as well as spatial distributions of the azimuthal and axial displacements and stored energy density in a wide frequency range starting from the stationary case have been obtained. Dependencies of the main mechanical characteristics versus the minimal and maximal system dimensions have been plotted. Geometries of the optomechanical accelerometers with micron size parts providing the low and the high first eigenfrequencies are presented. It is shown that via the choice of the geometrical parameters, the minimal measured acceleration level can be raised substantially.

摘要

在本文中,对一种微型光机械加速度计的机械特性进行了研究,该加速度计与广泛应用中所提出的类似。借助数值建模,获得了诸如本征频率、品质因数、位移大小、归一化平移、归一化旋转与本征频率的关系,以及从静止状态开始的宽频率范围内方位角和轴向位移的空间分布和存储能量密度等特性。绘制了主要机械特性与系统最小和最大尺寸的关系图。给出了具有微米级部件的光机械加速度计的几何结构,这些结构提供了低和高的第一本征频率。结果表明,通过选择几何参数,可以大幅提高最小测量加速度水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/2089ad060295/micromachines-14-01865-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/3f6bd7be66c1/micromachines-14-01865-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/2481404c5ce6/micromachines-14-01865-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/78a20aa0928f/micromachines-14-01865-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/cdbd6978bc9f/micromachines-14-01865-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/c43da4d077f7/micromachines-14-01865-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/035622a703bf/micromachines-14-01865-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/c2c4fb710b0a/micromachines-14-01865-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/b1e572e17aa7/micromachines-14-01865-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/2089ad060295/micromachines-14-01865-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/3f6bd7be66c1/micromachines-14-01865-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/2481404c5ce6/micromachines-14-01865-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/78a20aa0928f/micromachines-14-01865-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/cdbd6978bc9f/micromachines-14-01865-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/c43da4d077f7/micromachines-14-01865-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/035622a703bf/micromachines-14-01865-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/c2c4fb710b0a/micromachines-14-01865-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/b1e572e17aa7/micromachines-14-01865-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e7/10609610/2089ad060295/micromachines-14-01865-g009.jpg

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