Dynamic response amplification of resonant microelectromechanical structures utilizing multi-mode excitation
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ArticleDate
2023-04-11Embargo End Date
2025-04-11Permanent link to this record
http://hdl.handle.net/10754/691581
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This work presents an analytical and experimental study to enhance the dynamic response of the higher-order vibration modes of resonant microstructures. The detection of higher order vibration modes is usually very difficult due to their low amplitude response, which gets buried in noise. Higher input voltages can be used to enhance the response; however, it is highly energy demanding, can result in electronics problems, and may lead to pull-in of the lower participating modes. In this paper, we present a multi-mode excitation (MME) technique to enhance the vibration response of the higher order modes of an electrostatically actuated micro cantilever beam. First, we derive the dynamic equations of motion of the micro resonator accounting for two electrostatic excitation sources. Then, we apply the Galerkin method to analyze the dynamics of the system analytically. We investigate the effect of using various dynamic AC combinations on the involved modes to yield optimal conditions of the amplitude magnification. Then, an experimental investigation is conducted based on a micro resonator made of polyimide. The results showed that, compared to the single mode excitation (SME), the MME can significantly raise the level of the response above noise and amplify the displacement amplitude to yield a higher signal-to-noise ratio. The maximum displacement amplitude can be amplified multiple times as determined by the AC loads. Hence, the improved displacement amplitude with the proposed technique makes it promising for future signal processing technologies and for realizing high-sensitivity sensors.Citation
Zhao, W., Rocha, R. T., Alcheikh, N., & I.Younis, M. (2023). Dynamic response amplification of resonant microelectromechanical structures utilizing multi-mode excitation. Mechanical Systems and Signal Processing, 196, 110347. https://doi.org/10.1016/j.ymssp.2023.110347Sponsors
The authors acknowledge support from the King Abdullah University of Science and Technology (KAUST) fund.Publisher
Elsevier BVAdditional Links
https://linkinghub.elsevier.com/retrieve/pii/S0888327023002546ae974a485f413a2113503eed53cd6c53
10.1016/j.ymssp.2023.110347