
Translate physical requirements into governing equations for MEMS design, focusing on lumped element modeling, electrostatic sensing, resonant and accelerometer devices, and reliability in harsh environments.
Explore how to model MEMS devices from physics to lumped element models, analyze static and dynamic behavior, and design accelerometers and inertial sensors with capacitive sensing and noise considerations.
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Explore MEMS modeling with simplified, dominant-behavior models instead of full multi-physics solutions, reducing distributed microstructures and focusing on scale-dominant effects like electrostatic forces to transduce motion for electronic integration.
Use lumped element models, especially the mass–spring–damper system, to capture inertia, elasticity, and energy loss in MEMS. Replace complex structures with masses, springs, and dampers to design and tune devices.
Static and dynamic mems regimes map how displacement follows the balance of forces against stiffness, with area moment of inertia defining stiffness; dynamic regimes reveal resonance and transient response.
Investigate mems frequency response and resonance, noting that near the natural frequency small forces yield large displacements, while damping, effective mass, and stiffness shape resonance in resonators and gyroscopes.
Explore capacitive sensing in MEMS, showing how capacitance changes with plate overlap and gap, the role of permittivity, and how differential capacitors enhance sensitivity and noise rejection.
Explore capacitive sensitivity and linearity in mems, showing how gap, area, and electrostatic force shape pull-in limits and equilibrium with mechanical restoring forces.
Explore noise sources in capacitive microelectromechanical systems, focusing on Brownian thermal noise governed by Boltzmann constant, and how temperature, mass, natural frequency, and quality factor shape displacement and capacitance noise.
Explore resonance structures and mode shapes in MEMS, focusing on the fundamental mode's natural frequency via stiffness and mass, then validate with multiphysics simulations to observe motion.
Vibrate lateral resonators in a plane parallel to the substrate, driven electrostatically and sensed capacitively with differential electrodes. Provide CMOS-compatible timing references, filters, and frequency-selective sensors on chip.
Explore the Q factor, damping, and energy loss in MEMS resonators, explaining high and low Q behavior, sharp frequency selectivity, and damping mechanisms like squeeze-film, viscous, anchor, and internal losses.
Analyze how frequency stability preserves resonant frequency amid noise, and how drift degrades timing accuracy in MEMS resonators used as reference clocks.
Explore the operating principles of inertial MEMS accelerometers, derive their governing equations, and show how the suspended proof mass displacement causes capacitance changes that enable the static sensitivity relation.
Explore mechanical design trade-offs in MEMS accelerometers, linking mass, stiffness, natural frequency, bandwidth, and sensitivity to performance, noise, and survivability.
Explore how microelectromechanical systems gyroscopes use the Coriolis effect to sense angular rotation with capacitive sensing and a two-degree-of-freedom mass, highlighting resonance, q factor, and design trade-offs.
Analyze how bias errors from stiffness asymmetry and residual stress influence MEMS sensors, and how temperature and thermal mechanical noise affect stiffness, resonance, and sensitivity drift, guiding calibration.
design the springs for the MAPS accelerometer using the given mass, natural frequency, and folded-beam geometry, then compute the device capacitance from sixty comb pairs.
Explore thermal MEMS devices and the heat equation, including heat generation via joule heating, heat storage, and conduction, with a focus on steady-state analysis for microheaters and thermal sensors.
Apply dual heating as a design tool in MEMS devices by using Joule heating equations to predict temperature rise from electrical power, considering resistance, material properties, and thermal resistance.
Balance coefficient of thermal expansion, Young's modulus, and temperature change to manage thermo-mechanical stress, guiding material selection from tables for MEMS devices, including polysilicon and glassy carbon.
Examine common microelectromechanical systems failure modes and design pitfalls, including buckling under compressive thermal stress and fatigue from thermal cycles, guided by radius of gyration, boundary conditions, and material selection.
Finish the MEMS II course by mastering accelerometer design, springs, and capacitance. Explore the governing equations for mechanical, electrical, and thermo phenomena and preview MEMS manufacturing in the next course.
This course transitions from fundamental physical principles to the systematic modeling and design of functional Microelectromechanical Systems (MEMS). Divided into five sections, it provides the analytical tools necessary to transform theoretical micro-physics into high-performance sensors and actuators used in global industry.
The first section introduces the methodology of Lumped-Element Modeling, teaching students how to simplify complex multiphysics systems into equivalent mass-spring-damper circuits. This module establishes the groundwork for analyzing both static and dynamic MEMS behavior, with a focus on predicting frequency response and the importance of mechanical resonance.
The second section focuses on Electrostatic MEMS Devices, the most common architecture in the field. Students will explore the principles of capacitive sensing and the trade-offs between sensitivity and linearity. Critical design constraints are examined, specifically the "pull-in" instability limit and the various noise sources that impact the resolution of capacitive micro-sensors.
The third section explores Resonant MEMS, detailing how micro-structures are engineered for timing and frequency control. Topics include the analysis of mode shapes, lateral resonators, and the "Quality Factor" (Q-factor). Students will learn how to manage damping and energy loss mechanisms to ensure frequency stability and minimize drift in precision applications.
The fourth section dives into Inertial MEMS Devices, specifically accelerometers and gyroscopes. This module provides a rigorous explanation of the Coriolis effect and how it is harnessed for angular rate sensing. Students will analyze mechanical design trade-offs, focusing on how bias, noise, and temperature effects influence the performance of navigation-grade inertial units.
The final section addresses Thermal and Specialty MEMS, alongside material selection and reliability. This module covers the use of Joule heating as a deliberate design tool and identifies common failure modes such as thermal buckling and fatigue. Students will learn to navigate design pitfalls to ensure the long-term reliability of micro-systems in harsh environments.
By the end of this course, students will be able to translate physical requirements into mathematical models and engineering designs. Through the study of inertial and resonant systems, they will gain the expertise to design the "brain and senses" of modern autonomous systems, wearables, and aerospace technology.