权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

EAGER: Acoustic Wave Driven Parametric Electrical Resonators

EAGER：声波驱动参数电谐振器

基本信息

批准号：
1829821
负责人：
Levent Degertekin
金额：
$ 8万
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：
2018
资助国家：
美国
起止时间：
2018-06-01 至 2019-11-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1829821&HistoricalAwards=false
关键词：
EAGER Acoustic Wave Driven Parametric

项目摘要

Ultrasound is routinely used for safely imaging unborn babies deep in the body and diagnosing a variety of illnesses from liver to heart diseases. This opens the possibility that it can also be used to power medical implants such as cardiac pacemakers and neural stimulators. Capacitive devices, like microphones, are widely used for sound to electrical signal conversion but they are deemed unsuitable for implants as they require batteries to charge them. In this research, parametric effect, like a child pumping a swing by periodically standing and squatting to increase the size of the swing's oscillations, is investigated to remove this limitation. It turns out that one move a plate of a capacitor using sound waves or mechanical input over a certain threshold level to start this type of oscillation in an electrical circuit without a need for a battery. Initial analysis shows that this energy conversion can be very efficient, leading to remotely powering medical devices with ultrasound, and this oscillation can be started potentially with very small input levels, leading to very sensitive mechanical sensors to be used for energy harvesting, seismic or underwater sensing. In this project, these possibilities and fundamental limits of this unique approach will be explored experimentally and through detailed models.The objective of this research is to test a radically different approach to acoustic power transfer and sensing through the use of electrical parametric oscillators (resonators) driven by acoustic waves. In addition to optimized power transfer efficiency, the parametric amplification and noise squeezing for acoustic sensing applications will be explored by analyzing the fundamental mathematical problem of coupled oscillator based parametric systems and parametric super-resonance. Both analytical and numerical analysis methods will be utilized. This project will generate the proof of concept data for demonstration of efficient power transfer and model verification to develop new type of devices through ultrasound experiments in 500kHz-2MHz range. Use of inductance and resistance modulation for parametric resonance will be explored. If successful, this project, by exploiting nonlinearity and resonance, can lead to a paradigm shift in acoustic 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.

超声波通常用于安全地对未出生的婴儿进行身体深处的成像，并诊断从肝脏到心脏病的各种疾病。这开启了它也可用于为心脏起搏器和神经刺激器等医疗植入物提供动力的可能性。电容式设备，如麦克风，广泛用于声音到电信号的转换，但它们被认为不适合植入物，因为它们需要电池来充电。在这项研究中，参数效应，就像一个孩子定期站着和蹲下，以增加秋千的振荡的大小，摆动泵，以消除这一限制。事实证明，人们使用声波或超过一定阈值的机械输入来移动电容器的极板，以在电路中启动这种类型的振荡，而不需要电池。初步分析表明，这种能量转换可以非常有效，从而可以通过超声波远程为医疗设备供电，并且这种振荡可以以非常小的输入电平启动，从而导致非常敏感的机械传感器用于能量收集，地震或水下传感。在这个项目中，这些可能性和这种独特的方法的基本限制将通过实验和详细的模型进行探索。这项研究的目的是测试一个完全不同的方法，通过使用由声波驱动的电参量振荡器（谐振器）的声功率传输和传感。除了优化的功率传输效率外，还将通过分析基于耦合振荡器的参数系统和参数超共振的基本数学问题来探索声学传感应用中的参数放大和噪声压缩。将使用分析和数值分析方法。该项目将生成概念验证数据，用于演示有效的功率传输和模型验证，以通过500 kHz-2 MHz范围内的超声实验开发新型设备。将探讨使用电感和电阻调制的参数谐振。如果成功的话，这个项目，通过利用非线性和共振，可以导致一个范式的转变，在声转换，迄今主要依赖于线性，被动性质的电容和压电器件。这个奖项反映了NSF的法定使命，并已被认为是值得支持的评估使用基金会的智力价值和更广泛的影响审查标准。