Parametric Resonance as an Electromechanical Transduction Mechanism

作为机电转换机制的参数共振这个跨学科的研究项目将探索和利用参数激励，这是一个熟悉的概念，因为在操场上的秋千是由骑手弯曲和拉直来增加运动的幅度。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域。使用超声作为机械驱动，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，预计参数谐振将导致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获取能量，以及用于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方法的潜力，并将导致示范性的高性能超声波充电设备和传感器。在STEM教育方面，将设计实验，用运动传感器为秋千骑手提供仪器，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。还将制作有关该项目实验结果的视频剪辑，并通过格鲁吉亚理工学院的公共视频频道播放。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，同时评估基于压电谐振器的电感器实现等新方法，B）设计和实现概念验证设备，以演示从低频振动和低噪声声学中收集宽带能量，振动传感器的基础上的建模框架和设计准则的发展，和c）制造和仔细表征无线超声功率传输设备的生物医学植入物在0.5- 2 MHz的范围内使用MEMS制造技术。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，适用于MHz范围内的医疗超声应用，包括低频振动能量收集应用。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，这可能导致转导的范式转变，迄今为止主要依赖于线性，电容和压电器件的无源特性。该奖项反映了NSF的法定使命，并通过评估被认为值得支持使用基金会的知识价值和更广泛的影响审查标准。

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.