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方形雏菊弹簧软化和硬化的控制

Control of Spring Softening and Hardening in the Squared Daisy.

作者信息

Gratuze Mathieu, Alameh Abdul-Hafiz, Nabavi Seyedfakhreddin, Nabki Frederic

机构信息

Department of Electrical Engineering, École de Technologie Supérieure, Université du Québec, Montréal, QC H3C 1K3, Canada.

Department of Electrical and Computer Engineering, McGill University, Montréal, QC H3A 0G4, Canada.

出版信息

Micromachines (Basel). 2021 Apr 16;12(4):448. doi: 10.3390/mi12040448.

DOI:10.3390/mi12040448
PMID:33923665
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8073695/
Abstract

Nonlinear, mechanical microelectromechanical system (MEMS) resonating structures exhibit large displacement and a relatively broad operating bandwidth. These unique features make them particularly of interest for the development of MEMS actuators and sensors. In this work, a mechanical MEMS structure allowing the designer to determine the type of nonlinearity, that is, softening or hardening, based on its anchor scheme is presented. Effects of the excitation signal on the behavior of the proposed MEMS in the frequency domain are investigated. In this regard, a comprehensive experimental comparison among the nonlinear behaviors of softening and hardening has been conducted. To reduce the hysteresis effect to a minimum, an excitation approach, which is a pulsed sweep in frequency with a discrete resolution, is presented. The maximal velocity, quality factor, bandwidth, and resonant frequency of these two types of nonlinear MEMS resonators are compared under three different types of excitation. Finally, it is shown that the performance and characteristics extracted from nonlinear mechanical MEMS resonating structures are highly dependent on the excitation method. Hence, in the present case, the apparent performances of the MEMS resonator can increase by up to 150% or decrease by up to 21%, depending on the excitation approaches. This implies the necessity of a standardized testing methodology for nonlinear MEMS resonators for given end applications.

摘要

非线性微机电系统(MEMS)谐振结构具有大位移和相对较宽的工作带宽。这些独特特性使其在MEMS致动器和传感器的开发中备受关注。在这项工作中,提出了一种机械MEMS结构,它允许设计者根据其锚定方案来确定非线性类型,即软化或硬化。研究了激励信号在频域中对所提出的MEMS行为的影响。在这方面,已经对软化和硬化的非线性行为进行了全面的实验比较。为了将滞后效应降至最低,提出了一种激励方法,即具有离散分辨率的频率脉冲扫描。在三种不同类型的激励下,比较了这两种类型的非线性MEMS谐振器的最大速度、品质因数、带宽和谐振频率。最后表明,从非线性机械MEMS谐振结构中提取的性能和特性高度依赖于激励方法。因此,在当前情况下,根据激励方法的不同,MEMS谐振器的表观性能最多可提高150%或最多降低21%。这意味着对于给定的最终应用,需要一种针对非线性MEMS谐振器的标准化测试方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/69e64001fadb/micromachines-12-00448-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/6c91e16a3795/micromachines-12-00448-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/6cc892876daa/micromachines-12-00448-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/c70ebd9ea65c/micromachines-12-00448-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/a7cd7e2901bc/micromachines-12-00448-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/e56e6ab594c9/micromachines-12-00448-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/bb9bf9d33bb7/micromachines-12-00448-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/5e4cb5fb7b7d/micromachines-12-00448-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/edf85a38f3bd/micromachines-12-00448-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/69e64001fadb/micromachines-12-00448-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/6c91e16a3795/micromachines-12-00448-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/6cc892876daa/micromachines-12-00448-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/c70ebd9ea65c/micromachines-12-00448-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/a7cd7e2901bc/micromachines-12-00448-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/e56e6ab594c9/micromachines-12-00448-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/bb9bf9d33bb7/micromachines-12-00448-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/5e4cb5fb7b7d/micromachines-12-00448-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/edf85a38f3bd/micromachines-12-00448-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a6/8073695/69e64001fadb/micromachines-12-00448-g009.jpg

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本文引用的文献

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Active terahertz time differentiator using piezoelectric micromachined ultrasonic transducer array.基于压电微机电超声换能器阵列的有源太赫兹时间微分器
Opt Lett. 2020 Jul 1;45(13):3589-3592. doi: 10.1364/OL.393917.
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Design of the Squared Daisy: A Multi-Mode Energy Harvester, with Reduced Variability and a Non-Linear Frequency Response.方形雏菊的设计:一种多模式能量收集器,具有降低的变异性和非线性频率响应。
Sensors (Basel). 2019 Jul 24;19(15):3247. doi: 10.3390/s19153247.
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Effects of Proof Mass Geometry on Piezoelectric Vibration Energy Harvesters.
质量块几何形状对压电式振动能量收集器的影响。
Sensors (Basel). 2018 May 16;18(5):1584. doi: 10.3390/s18051584.
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A Stepped Frequency Sweeping Method for Nonlinearity Measurement of Microresonators.一种用于微谐振器非线性测量的步进频率扫描方法。
Sensors (Basel). 2016 Oct 13;16(10):1700. doi: 10.3390/s16101700.
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Twenty-Eight Orders of Parametric Resonance in a Microelectromechanical Device for Multi-band Vibration Energy Harvesting.用于多频段振动能量收集的微机电装置中的28种参量共振模式
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Nonlinear-Based MEMS Sensors and Active Switches for Gas Detection.用于气体检测的基于非线性的微机电系统传感器和有源开关
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