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dc.contributor.advisorPourkamali, Siavash
dc.creatorKumar, Varun Subramaniam
dc.date.accessioned2018-06-15T15:09:41Z
dc.date.available2018-06-15T15:09:41Z
dc.date.created2018-05
dc.date.issued2018-05
dc.date.submittedMay 2018
dc.identifier.urihttp://hdl.handle.net/10735.1/5855
dc.descriptionWinner of the 2018 Best Dissertation prize in the Erik Jonsson School of Engineering and Computer Science
dc.description.abstractWithin the past few decades, several micro and nano-electromechanical (MEMS and NEMS) accelerometers, magnetometers and vibration sensors utilizing various actuation and sensing mechanisms have been developed and demonstrated. These sensors are integral to various geographical, industrial, military, environmental and biomedical applications. Although these sensors based on MEMS technology have been successfully commercialized and are widely used, this dissertation focuses on novel approaches to enhance the performance of such sensors drastically. In most cases for the MEMS accelerometer, the large power consumption of MEMS sensors is attributed to the analog front end needed for reading, processing, and analog to digital conversion of the sensor output, which is typically responsible for most to all the power consumption of the whole sensor. The proposed effort in this dissertation aims at development of a new class of digitally readable MEMS accelerometers allowing significant power reduction by eliminating the need for the analog front-end. Conventional magnetometers that offer high sensitivities for fields smaller than a few nT’s are not MEMS compatible and cannot undergo miniaturization. MEMS Magnetometers have an edge over conventional counterparts due to their unique features such as small size, low cost, lower power consumption and simplicity of operation. Such properties offer unrivalled advantages, especially when it comes to medical applications, such as magneto-encephalography, where compact arrays of ultra-sensitive sensors are desirable. This dissertation demonstrates ultra-high sensitivities (noise floor in pT/√Hz) for a Lorentz force resonant MEMS magnetometer enabled by internal-thermal piezoresistive vibration amplification. A detailed model of the magneto-thermo-electro-mechanical internal amplification is also developed and studied. Frequency modulation of a Lorentz force MEMS magnetometer for enhanced sensitivity using a leverage mechanism has also been explored. Currently, no low cost, low power, and compact vibration sensor solution exists that can provide frequency distribution data for the measured vibrations This dissertation implements and characterizes building blocks of a low-power miniaturized vibration spectrum analyzer with a resolution of 1mg over a wide frequency range (0-10kHz) using an existing Texas Instruments CMOS process, without adding any complex post processing fabrication steps.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.rightsCopyright ©2018 is held by the author. Digital access to this material is made possible by the Eugene McDermott Library. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
dc.subjectMicroelectromechanical systems
dc.subjectAccelerometers
dc.subjectMagnetometers
dc.subjectMetal oxide semiconductors, Complementary
dc.subjectVibrational spectra
dc.titleNovel Sensing Approaches towards Ultimate MEMS Sensors
dc.typeDissertation
dc.date.updated2018-06-15T15:09:41Z
dc.type.materialtext
thesis.degree.grantorThe University of Texas at Dallas
thesis.degree.departmentElectrical Engineering
thesis.degree.levelDoctoral
thesis.degree.namePHD


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