Metamaterial-Enhanced Electroelastoacoustic Energy Harvesting for Sensor Systems

用于传感器系统的超材料增强电弹声能量收集

• 批准号: 1333978
• 负责人: Alper Erturk
• 金额: $ 29.65万
• 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: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1333978&HistoricalAwards=false
• 关键词: Metamaterial; Enhanced; Electroelastoacoustic; Energy; Harvesting

The research objective of this award is to investigate and leverage electroelastoacoustically coupled linear and nonlinear metamaterial-inspired energy harvesting concepts for self-powered sensor systems. The technical approach of this computational and experimental research program combines metamaterial-inspired structures and piezoelectric energy harvesting to extract low-power electricity from structure-borne propagating waves. Wave focusing and funneling, diode mechanisms, frequency bandgaps, and energy localization are some of the unique metamaterial properties that will be explored for improving the efficiency of linear and nonlinear piezoelectric energy harvesting. The research program will achieve its objectives by establishing lumped- and distributed-parameter modeling frameworks coupling the elastoacoustic dynamics of metamaterials and propagating waves with the electroelastic dynamics of piezoelectric energy harvesting, followed by experimental testing of specific configurations to validate performance enhancement. If successful, the results of this research will yield computational tools and experimental concepts for the potential system-level applications of low-power electricity generation from elastoacoustic waves propagating in the environment of sensor networks. The economic and societal benefits of enabling self-powered sensor nodes include reduction of maintenance costs and chemical waste of conventional batteries in wireless monitoring applications. The multifunctional nature of this class of energy harvesters results in the absorption of wave energy (which would otherwise create undesired noise/vibration) while generating usable electricity. In addition to constituting unprecedented platforms for both resonant and broadband energy harvesting, the frequency range of operation of the considered class of metamaterials can be highly compatible with microelectromechanical system-based energy harvesting. Results from this research will be disseminated through conference presentations, scholarly publications, and academic courses. Educational laboratory activities and classroom modules, developed in partnership with the Georgia Intern Fellowships for Teachers program at Georgia Tech, will expose underrepresented high school students to basic results of the research and to underlying wave mechanics and electroelastoacoustic principles.

该奖项的研究目标是研究和利用电弹声耦合线性和非线性超材料启发的能量收集概念，用于自供电传感器系统。这个计算和实验研究计划的技术方法结合了超材料结构和压电能量收集，从结构传播波中提取低功率电力。波聚焦和漏斗，二极管机制，频率带隙和能量局部化是一些独特的超材料特性，将被探索用于提高线性和非线性压电能量收集的效率。该研究计划将通过建立集中和分布参数建模框架来实现其目标，该框架将超材料的弹性声学动力学和传播波与压电能量收集的电弹性动力学相耦合，然后对特定配置进行实验测试以验证性能增强。如果成功的话，这项研究的结果将产生计算工具和实验概念的潜在系统级应用的低功耗发电弹性声波在传感器网络的环境中传播。实现自供电传感器节点的经济和社会效益包括减少无线监测应用中传统电池的维护成本和化学浪费。这类能量采集器的多功能性质导致在产生可用电力的同时吸收波能（否则会产生不期望的噪声/振动）。除了为谐振和宽带能量收集构成前所未有的平台之外，所考虑的超材料类别的操作频率范围可以与基于微机电系统的能量收集高度兼容。这项研究的结果将通过会议报告、学术出版物和学术课程传播。与格鲁吉亚理工学院的格鲁吉亚实习教师奖学金项目合作开发的教育实验室活动和课堂模块，将使代表性不足的高中生接触到研究的基本结果以及基本的波动力学和电弹性声学原理。