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Updated: Jan 17, 2026

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Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
Published on: February 4, 2018
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Bifurcation-based dynamics and internal resonance in micro ring resonators for MEMS applications
Saber Azizi1, Hamed Haddad Khodaparast1, Hadi Madinei1
1Aerospace Department, Faculty of Science and Engineering, Swansea University, Swansea, UK.
Summary
This study explores a micro ring structure for MEMS mass sensors and switches, utilizing nonlinear dynamics and 1:3 internal resonance for enhanced sensitivity and robust performance.
Area of Science:
- Nonlinear Dynamics
- Mechanical Engineering
- Micro-Electro-Mechanical Systems (MEMS)
Background:
- Micro ring structures with low damping ratios are ideal for sensitive dynamic behavior detection.
- Geometric nonlinearities in support beams influence system dynamics.
Purpose of the Study:
- Investigate the nonlinear dynamics of a micro ring structure under harmonic base excitation.
- Explore the potential for 1:3 internal resonance activation and its impact on dynamic response.
- Analyze complex nonlinear phenomena for enhanced MEMS sensor and switch applications.
Main Methods:
- Derivation and simplification of nonlinear differential equations into a reduced-order model.
- Analysis of coupled nonlinear Duffing-type equations.
- Examination of natural frequencies by varying support beam lengths.
- Frequency response curve analysis and bifurcation analysis.
Main Results:
- Tunable frequency ratios enabling 1:3 internal resonance near primary resonance.
- Demonstrated efficient energy transfer between modes due to internal resonance.
- Uncovered complex nonlinear phenomena: modal interactions, torus bifurcations, quasi-periodic motion, and cyclic fold bifurcations.
Conclusions:
- The micro ring structure effectively exploits nonlinear dynamics for enhanced sensitivity and robustness.
- Internal resonance and observed bifurcations offer novel operational mechanisms for MEMS devices.
- Findings pave the way for next-generation MEMS mass sensors and bifurcation-based switches.
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