Parametric Resonance as an Electromechanical Transduction Mechanism

参数共振作为机电转换机制

基本信息

批准号：
1936776
负责人：
Levent Degertekin
金额：
$ 34.99万
依托单位：
Georgia Tech Research Corporation
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-15 至 2023-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1936776&HistoricalAwards=false
关键词：
Parametric Resonance Electromechanical Transduction Mechanism

项目摘要

Parametric resonance as an electromechanical transduction mechanism This interdisciplinary research project will explore and exploit parametric excitation, a concept familiar to many as swings in playgrounds are driven by the rider bending and straightening to increase the amplitude of motion. When certain parameters of electrical circuits are modulated at a specific frequency by a mechanical input, such as changing the distance between two metal plates of a capacitor, energy can be transferred efficiently from mechanical to electrical domain. Using ultrasound as the mechanical drive at frequencies that are typically used for medical imaging deep in the body, and with proper design of an electrical circuit, parametric resonance is expected to result in high efficiency wireless charging of medical implants. The same concept can be used to harvest energy from vibrations in the environment in a large frequency range as well as to detect minute acoustic signals for underwater SONAR type applications. This project will thoroughly and systematically investigate the potential of this novel approach and will lead to demonstrative high-performance ultrasound based charging devices and sensors. In terms STEM education, experiments will be designed to instrument riders of swings with motion sensors to illustrate the parametric resonance concept as well as to demonstrate wireless charging of devices with ultrasound in water tanks to high school students. Video clips on experimental results of the project will also be prepared and broadcast through Georgia Tech's public video channel. The objective of the project will be achieved by a) analyzing parametric resonances of coupled mechanical and electrical resonators, including noise in the analysis for sensing applications while evaluating novel approaches such as piezoelectric resonator based inductor implementation, b) designing and implementing proof-of-concept devices to demonstrate broadband energy harvesting from low frequency vibrations, and low noise acoustic, vibration sensors based on the modeling framework and design guidelines developed, and c) fabricating and carefully characterizing wireless ultrasonic power transfer devices for biomedical implants in the 0.5-2MHz range using MEMS fabrication techniques. The complementary expertise of the research team in analytical modeling of nonlinear complex systems with deterministic and random excitations, device design, fabrication and characterization for applications covering low frequency vibrations for energy harvesting to medical ultrasound applications in the MHz range will be leveraged to achieve the targeted outcomes. The project will formulate new analytical and numerical models and will develop a new experimental framework for designing next-generation electromechanical sensors exploiting nonlinearity and resonance in different ways which can lead to a paradigm shift in transduction which heretofore depended predominantly on linear, passive properties of capacitive and piezoelectric devices.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

参数共振作为一种机电转导机制，该跨学科研究项目将探索和利用参数激发，这是许多人熟悉的概念，因为操场上的摇摆人是由骑手弯曲和拉直而驱动的，以增加运动的振幅。当电路的某些参数通过机械输入以特定频率调制时，例如更改电容器的两个金属板之间的距离时，可以将能量有效地从机械域转移到电域。使用超声作为机械驱动器的频率，通常用于体内的医学成像，并且在正确设计电路时，参数共振有望导致高效无线植入物的无线充电。相同的概念可用于从环境中的振动中收集能量，以检测水下声纳类型应用的微小声学信号。该项目将彻底和系统地研究这种新型方法的潜力，并将导致表现性高性能超声的充电设备和传感器。就STEM教育而言，实验将被设计为带有运动传感器的旋转式骑手，以说明参数共振概念，并向高中生展示带有超声检查设备的无线充电设备。有关该项目实验结果的视频片段还将通过佐治亚理工学院的公共视频频道进行准备和广播。该项目的目标将通过a）分析耦合机械和电气共振器的参数共振，包括在评估新方法的分析中噪声，同时评估新方法，例如基于基于的电感谐振器的电感器的实现，b）定义和实施基于低频率的频率vibrations，以及实施量的量化设备，并实施频率的噪声，以及频率繁差的噪声，以及频率噪声，以及噪声噪声，以及噪声噪声，以及噪声的噪声，以及噪声的噪声，以及噪声的噪声，以及噪声的噪声，以及噪声的噪声，以及噪声的噪声，以及噪声的噪声，以及噪声的噪声，以及噪声的噪声，以及噪声的噪声，以及噪声的噪声，并实现了噪声，并将其定义量制定了框架和设计指南，以及c）使用MEMS制造技术在0.5-2MHz范围内为生物医学植入物的无线超声波传输设备制造和仔细表征。研究团队在非线性复杂系统的分析建模方面具有确定性和随机激发，设备设计，制造和表征的互补专业知识，用于涵盖低频振动以在MHz范围内为医疗超声应用提供的低频振动，以实现目标的灭绝。 The project will formulate new analytical and numerical models and will develop a new experimental framework for designing next-generation electromechanical sensors exploiting nonlinearity and resonance in different ways which can lead to a paradigm shift in transduction which heretofore depended predominantly on linear, passive properties of capacitive and piezoelectric devices.This award reflects NSF's statutory mission and has been deemed worthy of通过基金会的智力优点和更广泛的影响评估标准通过评估来支持。