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Free Field Modeling of a MEMS-based Pressure Gradient Microphone.

著者: Stephen C Harrison; NAVAL POSTGRADUATE SCHOOL MONTEREY CA.
出版: Ft. Belvoir : Defense Technical Information Center, DEC 2009.
論文: Thesis (Master').
エディション/フォーマット:   学位論文/卒業論文 : Thesis/dissertation : Englishすべてのエディションとフォーマットを見る
概要:
Several articles have been written on Micro Electro Mechanical System (MEMS) based microphones including directional sound sensors, mimicking the hearing of the fly, Ormia Ochracea. Determining the operating characteristics of such directional sound sensors requires an understanding of the interaction of the incident sound field with the MEMS structure. Previous work at the Naval Postgraduate School (NPS)  続きを読む
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資料の種類: Thesis/dissertation, インターネット資料
ドキュメントの種類: インターネットリソース
すべての著者/寄与者: Stephen C Harrison; NAVAL POSTGRADUATE SCHOOL MONTEREY CA.
OCLC No.: 609999409
形態 68 p. ; 23 x 29 cm.

概要:

Several articles have been written on Micro Electro Mechanical System (MEMS) based microphones including directional sound sensors, mimicking the hearing of the fly, Ormia Ochracea. Determining the operating characteristics of such directional sound sensors requires an understanding of the interaction of the incident sound field with the MEMS structure. Previous work at the Naval Postgraduate School (NPS) concentrated on developing a finite element model that used either a force applied to the sound sensor or the far field of a point source to represent the acoustic pressure. However, both approaches failed to adequately explain experimental observations. In this thesis, a compact model is developed using the COMSOL Multiphysics finite-element code to represent the incident plane sound wave, with a perfectly matched layer (PML) and radiation condition to eliminate sound energy reflection from the outer boundary. The model was used to simulate the response of the sensor as a function of incident direction of the sound wave. The amplitude response of the sensor's bending frequency demonstrated a cosine dependence on the angle of incidence of the incoming sound wave. However, the amplitude at the sensor's rocking frequency showed a product of cosine and sine directional dependence. Finally, the substrate surrounding the sensor was introduced into the model. The introduction of the substrate resulted in increased amplitude response from the sensor. The simulated results including the substrate around the sensor agrees well with experimental measurements. It was found experimentally that the sensor detects the sound pressure gradient (particle velocity), rather than pressure as originally envisioned.

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