{"title":"High-frequency piezoelectric-on-Si MEMS resonator and numerical method for parameter extraction","authors":"A. Erbes, A. Prasad, A. Seshia","doi":"10.1109/EFTF.2014.7331493","DOIUrl":null,"url":null,"abstract":"This paper presents the design and characterization of a piezoelectrically-transduced (AlN) on silicon micro-mechanical resonator operating in its lateral bulk acoustic width-extensional mode at 28.73 MHz. The equivalent m-BVD model of the resonator is extracted using a least-squares-error algorithm which is presented in this paper. We report a mechanical Q factor of 5970 and motional resistance Rx of 273 Ω in vacuum (p0 = 30 mTorr) for the fundamental bulk acoustic mode for a 240 μm × 149 μm resonator. A good fit between the m-BVD model and the experimental data is obtained using the numerical fitting algorithm.","PeriodicalId":129873,"journal":{"name":"2014 European Frequency and Time Forum (EFTF)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 European Frequency and Time Forum (EFTF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EFTF.2014.7331493","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper presents the design and characterization of a piezoelectrically-transduced (AlN) on silicon micro-mechanical resonator operating in its lateral bulk acoustic width-extensional mode at 28.73 MHz. The equivalent m-BVD model of the resonator is extracted using a least-squares-error algorithm which is presented in this paper. We report a mechanical Q factor of 5970 and motional resistance Rx of 273 Ω in vacuum (p0 = 30 mTorr) for the fundamental bulk acoustic mode for a 240 μm × 149 μm resonator. A good fit between the m-BVD model and the experimental data is obtained using the numerical fitting algorithm.