Related Experiment Video
Updated: Jul 1, 2025

15:25
Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
Published on: February 4, 2018
6.1K
Design, simulation, and testing of a tunable MEMS multi-threshold inertial switch.
Qiu Xu1,2, Rodrigo T Rocha3, Yousef Algoos4
1Faculty of Electronic Information Engineering, Huaiyin Institute of Technology, Huai'an, 223003 PR China.
Microsystems & Nanoengineering
|March 8, 2024
Summary
This study introduces a tunable micro-electromechanical inertial switch. This device offers adjustable acceleration thresholds, combining measurement accuracy with power efficiency for shock detection.
Area of Science:
- MEMS (Micro-Electro-Mechanical Systems)
- Inertial Sensing Technology
- Nonlinear Dynamics
Background:
- Traditional inertial switches lack adjustable thresholds, limiting their adaptability.
- Accelerometers provide quantitative data but can be power-intensive.
- A need exists for power-efficient inertial sensors with tunable detection levels.
Purpose of the Study:
- To present a novel tunable multi-threshold micro-electromechanical inertial switch.
- To investigate the adjustable threshold capability and shock duration effects.
- To demonstrate a device combining accelerometer and switch advantages.
Main Methods:
- Design of a proof-of-concept device featuring a cantilever microbeam and two electrodes.
- Analytical investigation using a nonlinear beam model to study threshold adjustability.
- Experimental validation using a shock-table system to test fabricated prototypes.
Main Results:
- Demonstrated tunable threshold capability influenced by bias voltage and shock duration.
- Analytical model predictions showed strong agreement with experimental data.
- Successful fabrication and testing of prototype devices.
Conclusions:
- The tunable micro-electromechanical inertial switch offers a promising solution for shock and impact load classification.
- The device integrates quantitative measurement with power-saving features.
- Potential applications include transportation and healthcare systems requiring intelligent impact detection.

