Design And Simulation Of The Wave Performance Of A Nanocomposite RF MEMS Microswitch Reinforced With Gold Nanoparticles Under The Influence Of Time-Varying Electrostatic Energy
DOI:
https://doi.org/10.63278/mme.vi.1628Keywords:
RF MEMS microswitch, nanocomposite containing gold nanoparticles, Poline voltage, natural frequency.Abstract
Capacitive RF MEMS switches have emerged as a prominent and technologically simple solution in modern microelectromechanical systems, garnering substantial research focus. This work presents a novel exploration of incorporating gold nanoparticles into the fabrication of RF MEMS microswitches, marking the first comprehensive assessment of their potential in this application. The investigation employs a combined analytical-numerical approach to analyze the dynamic response of these devices under time-dependent electrostatic actuation. The microswitch architecture is modeled as a bifurcated microbeam structure. Nonlinear governing equations describing its mechanical deformation are formulated through non-local extensions of Euler-Bernoulli beam theory, incorporating von Kármán's geometric nonlinearity to account for large-deflection strain-displacement relationships. Mechanical properties of the gold-reinforced nanocomposite are derived using homogenization techniques based on mixture laws. The resulting equations are discretized via the Galerkin weighted residual method, enabling numerical solutions. Key findings reveal that the integration of gold nanoparticles substantially enhances the structural stability of microbeams. Specifically, a minimal nanoparticle concentration of 0.1% elevates the pull-in voltage threshold by approximately 18%. This improvement suggests that gold nanoparticle integration offers a viable strategy for achieving higher actuation voltages in compact microswitch designs. Such advancements could enable the miniaturization of MEMS devices while maintaining or enhancing operational performance, positioning nanocomposite engineering as a critical tool in microsystem optimization.
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Copyright (c) 2025 Parisa Esmailzadeh Kaleybar, Yashar Zehforoosh, Mahdi Zavvari, Amir Bazdar

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