期刊
JOURNAL OF MICROMECHANICS AND MICROENGINEERING
卷 31, 期 2, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/1361-6439/abce9c
关键词
micro-electro-mechanical-systems; pressure sensor; parametric resonance; electrostatic; non-linear vibration
类别
资金
- National Science Foundation (NSF) [ECCS1608692]
A tunable threshold pressure sensor based on parametric resonance of a microbeam subjected to electrostatic levitation is proposed. The appearance of parametric resonance depends on the pressure, which influences the amount of energy loss from squeeze film damping. The sensor's activation and reliability, along with improved resolution, make it advantageous over pull-in based sensors.
A tunable threshold pressure sensor based on parametric resonance of a microbeam subjected to electrostatic levitation is proposed. Parametric excitation can trigger a large amplitude vibration at twice the natural frequency if the magnitude of the driving force is large enough to overcome energy loss mechanisms in the system such as squeeze film damping. This causes a temporarily unstable response with a significant gain in oscillation amplitude over time until it is eventually capped by nonlinearities in the force or material or geometric properties. The instability divides the frequency region into two regions: distinct responses bounded by the system non-linearity, and trivial responses with very low oscillation amplitudes. It is shown experimentally that the appearance of parametric resonance depends on the pressure, which influences the amount of energy loss from squeeze film damping. Therefore, the distinct difference in the vibration amplitude can be used to detect when the pressure passes a threshold level. The activation of parametric resonance also depends on the amplitude of the driving force (V-ac). This voltage amplitude can be set to trigger parametric resonance when the pressure drops below a predetermined threshold. A reduced-order model is developed using the Euler-Bernoulli beam theory to elucidate the non-linear dynamics of the system. The simulation results from the mathematical model are in good agreement with the experimental data. The advantages of the proposed sensor over pull-in based sensors are its reliability and improved resolution from a large signal-to-noise ratio.
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