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.

参数共振作为机电转换机制这个跨学科研究项目将探索和利用参数激励，这是一个许多人都熟悉的概念，因为操场上的秋千是由骑手弯曲和伸直来增加运动幅度来驱动的。当电路的某些参数通过机械输入以特定频率调制时，例如改变电容器的两个金属板之间的距离，能量可以有效地从机械域转移到电气域。使用超声波作为机械驱动器，其频率通常用于身体深处的医学成像，并且通过适当的电路设计，参数共振有望实现医疗植入物的高效无线充电。相同的概念可用于从大频率范围内的环境振动中收集能量，以及检测水下声纳类型应用的微小声学信号。该项目将彻底、系统地研究这种新颖方法的潜力，并将产生基于示范性高性能超声波的充电设备和传感器。在 STEM 教育方面，将设计实验，为秋千上的骑手配备运动传感器，以说明参数共振概念，并向高中生演示水箱中超声波设备的无线充电。有关该项目实验结果的视频片段也将通过佐治亚理工学院的公共视频频道制作和播出。该项目的目标将通过以下方式实现：a）分析耦合机械和电气谐振器的参数谐振，包括传感应用分析中的噪声，同时评估新颖的方法，例如基于压电谐振器的电感器实现，b）设计和实现证明概念设备，用于展示从低频振动和低噪声声学振动传感器中收集宽带能量，这些传感器基于所开发的建模框架和设计指南，以及 c) 制造和仔细表征用于 0.5-2MHz 生物医学植入物的无线超声功率传输设备使用 MEMS 制造技术的范围。研究团队在具有确定性和随机激励的非线性复杂系统的分析建模、设备设计、制造和表征方面的互补专业知识将被利用，这些应用涵盖用于能量收集的低频振动到 MHz 范围内的医疗超声应用结果。该项目将制定新的分析和数值模型，并将开发一个新的实验框架，用于设计下一代机电传感器，以不同的方式利用非线性和谐振，这可能导致迄今为止主要依赖于电容的线性、无源特性的换能范式转变该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。