Experimental and Numerical Analysis of a MEMS Resonator for Sensing and Filtering Applications

A Master of Science thesis in Mechanical Engineering by Mohammed Al Hadi entitled, “Experimental and Numerical Analysis of a MEMS Resonator for Sensing and Filtering Applications”, submitted in September 2025. Thesis advisor is Dr. Mehdi Ghommem and thesis co-advisor is Dr. Nouha Alcheikh. Soft copy...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: Al Hadi, Mohammed (author)
التنسيق: doctoralThesis
منشور في: 2025
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/11073/33505
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author Al Hadi, Mohammed
author_facet Al Hadi, Mohammed
author_role author
dc.contributor.none.fl_str_mv Ghommem, Mehdi
Alcheikh, Nouha
dc.creator.none.fl_str_mv Al Hadi, Mohammed
dc.date.none.fl_str_mv 2025-09
2026-06-18T06:54:05Z
2026-06-18T06:54:05Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2025.75
https://hdl.handle.net/11073/33505
dc.language.none.fl_str_mv en_US
dc.relation.none.fl_str_mv Master of Science in Mechanical Engineering (MSME)
dc.subject.none.fl_str_mv Nonlinear dynamics
MEMS
Pressure sensing
Signal filtering, cyclic-fold bifurcation
Tapping mode
dc.title.none.fl_str_mv Experimental and Numerical Analysis of a MEMS Resonator for Sensing and Filtering Applications
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Mechanical Engineering by Mohammed Al Hadi entitled, “Experimental and Numerical Analysis of a MEMS Resonator for Sensing and Filtering Applications”, submitted in September 2025. Thesis advisor is Dr. Mehdi Ghommem and thesis co-advisor is Dr. Nouha Alcheikh. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
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spelling Experimental and Numerical Analysis of a MEMS Resonator for Sensing and Filtering ApplicationsAl Hadi, MohammedNonlinear dynamicsMEMSPressure sensingSignal filtering, cyclic-fold bifurcationTapping modeA Master of Science thesis in Mechanical Engineering by Mohammed Al Hadi entitled, “Experimental and Numerical Analysis of a MEMS Resonator for Sensing and Filtering Applications”, submitted in September 2025. Thesis advisor is Dr. Mehdi Ghommem and thesis co-advisor is Dr. Nouha Alcheikh. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).This thesis presents an experimental and numerical investigation of the nonlinear dynamics of an electrostatically actuated MEMS resonator composed of a microplate supported by two symmetrical cantilever beams. The device was characterized using both optical and electrical measurement techniques, revealing pronounced nonlinear phenomena such as amplitude-dependent resonance shifts, frequency softening and hardening, cyclic-fold bifurcations, and nonlinear tapping mode. By harnessing these nonlinearities, two application domains were demonstrated: vacuum pressure sensing and tunable bandpass filtering. As a pressure sensor, the device achieved high sensitivities of 10,068 ppm/Torr in the 0.5–9 Torr range and 1,831 ppm/Torr in the 10–100 Torr range, with excellent linearity (R² > 0.98). Even in higher pressure regimes (300–500 Torr), the sensor maintained sensitivities up to 154 ppm/Torr under purely electrostatic actuation. Importantly, the high-sensitivity region was tunable through DC bias adjustment, enabling up to a sixfold increase in sensitivity at higher pressures. Compared to state-of-the-art MEMS sensors, the proposed device outperforms prior designs by more than one order of magnitude in low-pressure regimes while maintaining low power consumption. As a bandpass filter, the resonator exhibited reconfigurable center frequency operation between 33.91 and 40.46 kHz and a tunable fractional bandwidth (FBW) ranging from 4.18–15.1% at 0.5 Torr, 4.18–11.6% at 3 Torr, and up to 27.9–36.9% at atmospheric pressure. These bandwidth values exceed those of existing MEMS filters, which typically report FBW below 17%, while offering dynamic tunability of both bandwidth and center frequency by exploiting bifurcation and tapping model. Overall, this work establishes a dual-function MEMS device that simultaneously advances pressure sensing and signal filtering technologies. By adjusting nonlinear dynamic effects, the proposed resonator achieves performance levels surpassing those reported in the literature, while offering tunability, compactness, and low-power operation.College of EngineeringDepartment of Mechanical EngineeringMaster of Science in Mechanical Engineering (MSME)Ghommem, MehdiAlcheikh, Nouha2026-06-18T06:54:05Z2026-06-18T06:54:05Z2025-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2025.75https://hdl.handle.net/11073/33505en_USMaster of Science in Mechanical Engineering (MSME)oai:repository.aus.edu:11073/335052026-06-19T06:25:55Z
spellingShingle Experimental and Numerical Analysis of a MEMS Resonator for Sensing and Filtering Applications
Al Hadi, Mohammed
Nonlinear dynamics
MEMS
Pressure sensing
Signal filtering, cyclic-fold bifurcation
Tapping mode
status_str publishedVersion
title Experimental and Numerical Analysis of a MEMS Resonator for Sensing and Filtering Applications
title_full Experimental and Numerical Analysis of a MEMS Resonator for Sensing and Filtering Applications
title_fullStr Experimental and Numerical Analysis of a MEMS Resonator for Sensing and Filtering Applications
title_full_unstemmed Experimental and Numerical Analysis of a MEMS Resonator for Sensing and Filtering Applications
title_short Experimental and Numerical Analysis of a MEMS Resonator for Sensing and Filtering Applications
title_sort Experimental and Numerical Analysis of a MEMS Resonator for Sensing and Filtering Applications
topic Nonlinear dynamics
MEMS
Pressure sensing
Signal filtering, cyclic-fold bifurcation
Tapping mode
url https://hdl.handle.net/11073/33505