Parametric Resonance as an Electromechanical Transduction Mechanism

参数共振作为一种机电转换机制这个跨学科的研究项目将探索和利用参数激励，这是一个许多人熟悉的概念，因为操场上的摆动是由骑手弯曲和伸直来驱动的，以增加运动的幅度。当电路的某些参数被机械输入以特定的频率调制时，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域。使用超声波作为机械驱动器，频率通常用于人体深处的医学成像，如果电路设计得当，参数共振有望导致医疗植入物的高效无线充电。同样的概念可以用来从大频率范围内的环境振动中获取能量，以及检测用于水下声纳类型应用的微小声音信号。该项目将深入和系统地研究这种新方法的潜力，并将导致演示高性能的基于超声波的充电设备和传感器。在STEM教育方面，将设计实验，用运动传感器测量秋千骑手，以说明参数共振概念，并向高中生演示利用水箱中的超声波对设备进行无线充电。关于该项目实验结果的视频剪辑也将准备好，并通过佐治亚理工学院的公共视频频道播出。该项目的目标将通过以下方式实现：a)分析机电耦合谐振器的参数共振，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实现等新方法；b)根据所制定的建模框架和设计指南，设计和实施概念验证设备，以演示从低频振动和低噪声声学、振动传感器获得宽带能量；以及c)利用MEMS制造技术，制造和仔细表征用于0.5-2 MHz范围内生物医学植入物的无线超声功率传输设备。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用于涵盖从能量采集的低频振动到MHz范围内的医学超声应用的应用，以实现目标结果。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共振，这可能导致迄今为止主要依赖于电容式和压电式设备的线性、无源属性的换能器的范式转变。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.