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SST: CAD Tools and Verification for Resonator-Based Sensor Technology

SST: CAD Tools and Verification for Resonator-Based Sensor Technology
SST:基于谐振器的传感器技术的 CAD 工具和验证
批准号:
0426660
负责人:
Sanjay Govindjee
金额:
$37.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-01 至 2007-08-31

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中文摘要
翻译
SST:基于谐振器的传感器技术的CAD工具和验证传感技术的主要工作集中在传感元件的微型化上。大部分投资都花在开发传感系统上,这些传感系统可以集成到自主的微型机电系统(MEMS)中,以满足广泛的无线传感需求,从监测建筑物和桥梁的安全,到用于检测广泛地理区域的大气化学危害的电子鼻,到用于监测通信通道的电子耳,仅举几例。成功部署这种系统的关键之一是克服传感器节点的能量需求。请注意,传感器不仅需要电力才能进行传感,而且还需要进行通信。解决其中许多问题的一项有吸引力的技术是体声波谐振器(BAWR);在几微米的MEMS规模上,这些设备工作在GHz范围(手机频率)。与替代技术相比,BAWR可用作化学传感器中的高质量频率基准、信号处理滤波网络的元件以及无线通信系统的元件。这类器件的许多前景都可以在最近发表的概念验证实验中看到。然而,仔细阅读这些出版物就会发现,尽管BAWR的一般工作原理是已知的,但基于谐振式MEMS传感器的设计者理解预期系统行为的准确性明显不足。这项建议旨在帮助纠正这一缺陷,并通过开发免费可用的计算机辅助设计(CAD)工具来促进更快地开发成功的BAWR设备。这个跨学科的研究团队不仅打算开发一种CAD工具,还打算进行实验以验证其准确性。他们的CAD软件旨在准确预测热弹性阻尼、固有材料损耗和锚定(或夹紧)损耗引起的谐振器质量劣化。他们将以一种新的方式为MEMS社区解决这一问题,方法是直接查看谐振器行为的控制偏微分方程(PDE),然后使用先进的Krylov模型简化方法提取小的、准确的、快速的模型用于设计级计算。他们方法的新颖方面包括一个建模系统,该系统将自动将不同的阻尼效果彼此分开,并使创建迄今未知的BAWR的新的虚拟实验成为可能。最后一点的关键是他们提议为CAD工具开发一个优化模块,该模块将允许优化更高级别传感器节点设计所需的目标性能参数,如传递函数。拟议工作的一个组成部分是制造多晶和单晶BAWR,它将测试模型,帮助改进它们,并测试耦合谐振器设计中的新概念。团队成员包括材料建模、科学计算和MEMS设计和制造方面的专家。他们打算在创造新的MEMS器件和创造和传播MEMS设计软件方面建立在过去成功的基础上。这项建议中要解决的科学问题对社区至关重要。但除了这些优点外,值得注意的是,这项建议将对发展社区的研究基础设施产生更广泛的影响,因为将开发的软件将免费分发。在人力资源方面,提出者将通过将半导体工程培训与机械建模和科学计算相结合,在一个高度跨学科的领域培训学生,从而实现更广泛的目标。社区非常需要这样的毕业生。求职者还计划从成功的伯克利大学工程研究暑期本科生项目(Superb)招聘。该计划旨在接触工程学领域具有代表性的群体,为他们提供高质量的研究体验,并鼓励他们立志获得研究生学位。过去,私人投资机构已经成功地参与了这一计划。
英文摘要
SST: CAD Tools and Verification for Resonator-Based Sensor TechnologyA major effort in sensing technology centers about the miniaturization of sensing elements.Much investment is being expended upon the development of sensing systems that can be incorpo-ratedinto autonomous micro-electrical-mechanical systems (MEMS) for widespread wireless sensingneeds ranging from monitoring buildings and bridges for safety, to electronic noses for detectingatmospheric chemical hazards across wide geographic areas, to electronic ears for monitoring com-municationchannels just to name a few. One key to the successful deployment of such systemsis overcoming the energy needs of sensor nodes. Note that sensors need power not only to sensebut also to communicate. An attractive technology for dealing with many of these issues is bulk-acousticwave resonators (BAWRs); at the MEMS scale of a few microns these devices operate inthe GHz range (cell phone frequencies). BAWRs can be used as high quality frequency referencesin chemical sensors, elements of signal processing filter networks, and as elements of wireless com-municationsystems all at very low power compared to alternate technologies. Much of the promiseof such devices has been seen in proof-of-concept experiments that have recently been published.However, a careful reading of these publications shows that while the general operating principlesof BAWRs are known, there is a distinct lack of accuracy to which resonant-based MEMS sensordesigners understand expected system behavior. This proposal intends to help rectify this defi-ciencyand to promote more rapid development of successful BAWR devices by developing freelyavailable computer aided design (CAD) tools.This interdisciplinary team of researchers intends to not only develop a CAD tool but to alsoconduct experiments to verify its accuracy. Their CAD software is designed to accurately predictresonator quality degradation from thermoelastic damping, intrinsic material losses, and anchor(or clamping) losses. They will tackle the problem in a new way for the MEMS community bylooking directly to the governing partial differential equations (PDEs) for the resonator behaviorand then abstracting small, accurate, and fast models for design level computations using advancedKrylov model reduction methods. Novel aspects in their approach include a modeling system thatwill automatically separate different damping effects from each other and make possible new virtualexperiments for the creation of heretofore unknown BAWRs. Key to this last point is their proposalto develop an optimization module for the CAD tool that will allow for the optimization of targetedperformance parameters, such as transfer functions, that are needed for higher level sensor nodedesign. Integral to the proposed work will be the fabrication of poly- and single-crystal BAWRsthat will test the models, help refine them, and test new concepts in coupled resonator designs.The team make-up includes experts in material modeling, scientific computing, and MEMS designand fabrication. They intend to build upon their past successes in creating new MEMS devicesand in creating and disseminating MEMS design software.The scientific questions to be addressed in this proposal are of a critical importance to thecommunity. But beyond these merits, it is noted that the proposal will have the broader impactof developing the community's research infrastructure as the software to be developed will be dis-tributedfreely. On the human resource side the proposers will fill a broader objective by trainingstudents in an highly interdisciplinary field by combining training in semi-conductor engineeringwith mechanical modeling and scientific computing. Such graduates are sorely needed in the com-munity.The proposers additionally plan to recruit from the successful Summer UndergraduateProgram in Engineering Research at Berkeley (SUPERB). This program aims to reach out tounder-represented groups in engineering and provide them with a high quality research experienceand encourage them to aspire to graduate degrees. The PIs have successfully participated in thisprogram in the past.
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