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Updated: Oct 7, 2025

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Published on: May 29, 2014
Quality factor control of mechanical resonators using variable phononic bandgap on periodic microstructures.
Naoki Inomata1, Yuka Tonsho2, Takahito Ono2
1Graduate School of Engineering, Tohoku University, Sendai, 980-8579, Japan. inomata.n@tohoku.ac.jp.
Controlling the quality factor (Q-factor) in microelectromechanical systems (MEMS) is crucial. This study demonstrates Q-factor control by altering phononic bandgaps through microstructure length adjustments, offering a simplified MEMS solution.
Area of Science:
- Materials Science
- Mechanical Engineering
- Nanotechnology
Background:
- The quality factor (Q-factor) is vital for mechanical resonant sensors and microelectromechanical systems (MEMS).
- Conventional Q-factor control methods often involve complex equipment or nanoscale fabrication.
- Structural methods offer a simplified approach to Q-factor management in MEMS devices.
Purpose of the Study:
- To demonstrate a novel Q-factor control technique for MEMS.
- To investigate the use of a variable phononic bandgap for Q-factor modulation.
- To simplify Q-factor control by adjusting the length of periodic microstructures.
Main Methods:
- Fabrication of silicon microstructures with periodic elements and spring structures.
- Experimental measurement of Q-factors for mechanical resonators with varying resonant frequencies.
- Analysis of bandgap variations induced by changes in the extended structure length.
Main Results:
- A variable phononic bandgap was achieved by modifying the length of the periodic microstructure.
- Experimental confirmation of bandgap changes through Q-factor measurements.
- Demonstrated correlation between microstructure length, bandgap range, and Q-factor values.
Conclusions:
- The proposed method effectively controls the Q-factor in MEMS devices by tuning phononic bandgaps.
- Periodic microstructures enhance Q-factor control efficiency compared to non-periodic ones.
- The technique is compatible with conventional MEMS fabrication, offering a feasible solution for Q-factor management.
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