Learn · EE 246/ME219 - Spring 2008
Lecture 1 of 382008-01-2355 min
MEMS Overview: Unique Characteristics of MEMS, Typical Application Areas of MEMS
Albert Pisano · University of California, Berkeley
Credits and licence
- From
- EE 246/ME219 - Spring 2008, University of California, Berkeley (at Internet Archive)
- Licence
- Internet Archive states no licence for it.
- Attribution
- 2006 Regents of the University of California
- Who can watch
- Teens profiles and older. How courses are placed
All the lectures
- MEMS Overview: Unique Characteristics of MEMS, Typical Application Areas of MEMS
- MEMS Overview: Examples of MEMS, Future Directions of MEMS
- MEMS Solutions for Data Storage: Technical Rationale, HexSil Linear Actuator
- MEMS Solutions for Data Storage: V-HARM, Fabrication Issues, Other Technologies (First 10 minutes of lecture not in podcast)
- MEMS Fexures: Overview, Technical Rationale, Examples
- MEMS Flexures: Optimal Design, Basic Flexure Types, Hammock, Crab-leg and Double Folded
- MEMS Flexures: Stress Analysis, Flexible Design Method, Unified Beam Bending Theory
- MEMS Accelerometer: Dynamic Principles, Design, Analysis, Survey of Accelerometers
- MEMS Flexures: Meandering Flexures, Solving Procedures
- MEMS Flexures: Non-linear Limits, Shear and Axial Effect
- MEMS Flexures: Electrostatic Actuation, Derivation
- MEMS Materials: Mechanical Properties of Materials, MEMS Material Deposition Process
- MEMS Materials: Failure of Materials, MEMS Materials Test
- MEMS Anchors: Background, Fabrication, Finite Element Model
- Distributed Parameter Oscillator: Rayleigh's Principle, Rayleigh's Energy Method
- MEMS Angular Accelerometer: Design Concept, Analysis
- MEMS Optimization: design, Optimization Paradigm, Examples
- MEMS Optimization: Monotonicity Analysis
- MEMS Optimization: Monotonicity Analysis 2
- MEMS Optimization: Monotonicity Analysis 3
- MEMS Optimization: Penalty Function Method
- MEMS Optimization: Unconstrained Optimization, Method of Steepest Descent
- MEMS Optimization: Quadratic Approximation, Conjugate Directional Method
- MEMS Optimization: Lagrange Multiplier Method
- MEMS Pivots: Stress Analysis
- MEMS Pivots: Stress Evaluation, Design Approach
- MEMS Fluidics: Overview
- MEMS Fluidics: Micro Mixers
- MEMS Fluidics: Micro Valves and Pumps
- MEMS Flow: Newtonian Fluids, Couette Flow, Viscous Damping of Resonators
- MEMS Flow: Stokes Solution, Effect of Reynolds Number
- MEMS Flow: Surface Energy, Bubble Actuators, Bubble Valve
- MEMS Visualization: Methods and Results
- MEMS Inertial Instument: Rotary Internal Combustion Engine (Lecture is only 22 minutes)
- MEMS Inertial Instument: Angular Rate Sensing
- MEMS Inertial Instument: Review of Gyroscopes
- MEMS Inertial Instuments: ADXL50
- MEMS Research: Programs at DARPA