A Novel Mass Sensor Based on Parametrically Excited Mode-Localized Resonators

J. Song, Jian Zhao, N. Kacem, Ming Lyu, Rongjian Sun, Pengbo Liu
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Abstract

The nonlinear dynamics in micro/nano electromechanical sensor have attracted a myriad of attention of researchers due to its great potential to improve sensors’ performance In this paper, a novel mass sensor exploiting the bifurcation phenomenon in parametrically excited mode-localized resonators is proposed. The mathematical model is established by Euler-Bernoulli theory and solved by the method of multiple scales. Meanwhile, the harmonic balance method combined with asymptotic numerical method is utilized for validation. The dynamics and bifurcation topology of the sensor are investigated and the potential of mass sensing on bifurcation point is explored. Compared to relative shift of frequency, the sensitivity in terms of relative shift of amplitude ratio can be enhanced by 4 orders of magnitude. Finally, the effects of coupling voltage are studied which shows that the sensitivity can be further improve with the decrease of coupling voltage above the mode aliasing.
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一种基于参数激励模式局域谐振器的新型质量传感器
微纳机电传感器中的非线性动力学由于其在提高传感器性能方面的巨大潜力而引起了研究者们的广泛关注。本文提出了一种利用参数激励模式局域谐振器中的分岔现象的新型质量传感器。采用欧拉-伯努利理论建立数学模型,采用多尺度法求解。同时,利用谐波平衡法结合渐近数值方法进行验证。研究了传感器的动力学和分岔拓扑结构,探讨了在分岔点上进行质量传感的潜力。与频率相对位移相比,幅值比相对位移的灵敏度提高了4个数量级。最后,研究了耦合电压的影响,结果表明,在模混叠以上,随着耦合电压的降低,灵敏度可以进一步提高。
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