N. Swart, S. Bart, M. Zaman, M. Mariappan, J. Gilbert, D. Murphy
{"title":"AutoMM: automatic generation of dynamic macromodels for MEMS devices","authors":"N. Swart, S. Bart, M. Zaman, M. Mariappan, J. Gilbert, D. Murphy","doi":"10.1109/MEMSYS.1998.659750","DOIUrl":null,"url":null,"abstract":"We report on the development of a new CAD tool, AutoMM, which supports the automatic generation of dynamic macromodels for a broad class of MEMS devices. The tool is demonstrated by producing a 2 DOF macromodel of the Analog Devices ADXL76 airbag accelerometer. Considerably improved functionality is obtained over earlier models of the device, including prediction of cross-axis response. Excellent agreement is obtained between simulations and measured data.","PeriodicalId":340972,"journal":{"name":"Proceedings MEMS 98. IEEE. Eleventh Annual International Workshop on Micro Electro Mechanical Systems. An Investigation of Micro Structures, Sensors, Actuators, Machines and Systems (Cat. No.98CH36176","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"52","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings MEMS 98. IEEE. Eleventh Annual International Workshop on Micro Electro Mechanical Systems. An Investigation of Micro Structures, Sensors, Actuators, Machines and Systems (Cat. No.98CH36176","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMSYS.1998.659750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 52
Abstract
We report on the development of a new CAD tool, AutoMM, which supports the automatic generation of dynamic macromodels for a broad class of MEMS devices. The tool is demonstrated by producing a 2 DOF macromodel of the Analog Devices ADXL76 airbag accelerometer. Considerably improved functionality is obtained over earlier models of the device, including prediction of cross-axis response. Excellent agreement is obtained between simulations and measured data.