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The description of friction of silicon MEMS with surface roughness: virtues and limitations of a stochastic Prandtl–Tomlinson model and the simulation of vibration-induced friction reduction

机译:具有表面粗糙度的硅MEMS摩擦的描述:随机Prandtl–Tomlinson模型的优点和局限性以及振动引起的摩擦减小的模拟

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摘要

We have replaced the periodic Prandtl–Tomlinson model with an atomic-scale friction model with a random roughness term describing the surface roughness of micro-electromechanical systems (MEMS) devices with sliding surfaces. This new model is shown to exhibit the same features as previously reported experimental MEMS friction loop data. The correlation function of the surface roughness is shown to play a critical role in the modelling. It is experimentally obtained by probing the sidewall surfaces of a MEMS device flipped upright in on-chip hinges with an AFM (atomic force microscope). The addition of a modulation term to the model allows us to also simulate the effect of vibration-induced friction reduction (normal-force modulation), as a function of both vibration amplitude and frequency. The results obtained agree very well with measurement data reported previously.
机译:我们已经用原子尺度的摩擦模型替换了周期性的Prandtl–Tomlinson模型,并用一个随机粗糙度术语描述了带有滑动表面的微机电系统(MEMS)设备的表面粗糙度。该新模型显示出与以前报道的实验MEMS摩擦环数据相同的功能。结果表明,表面粗糙度的相关函数在建模中起着至关重要的作用。它是通过使用AFM(原子力显微镜)探测在芯片上铰链中直立翻转的MEMS器件的侧壁表面来实验获得的。在模型中添加调制项后,我们还可以模拟振动引起的摩擦减小(法向力调制)的效果,该效果是振动幅度和频率的函数。获得的结果与先前报道的测量数据非常吻合。

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