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Extraction of Frequency Dependent Macro-Models for Gas Damping and Spring Effects for MEMS Devices

机译:用于MEMS器件的气体阻尼频率依赖宏型的提取

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In this paper, we present an efficient macromodel extraction technique for gas damping and spring effects for arbitrarily shaped geometry. The technique applies an Arnoldi-based model-order-reduction algorithm to generate low-order models from a FEM approximation of the linearized Reynolds equation. We demonstrate that this approach for generating the frequency-dependent gas-damping model is more than 100 times faster than previous approaches, which solves the linearized Reynolds equation using a transient finite-element method. The low-order gas-damping model can be easily inserted into a system-level modeling package for transient and frequency analysis. The simulated results are in good agreement with experimental results for four different devices.
机译:在本文中,我们提出了一种用于任意形状几何的气体阻尼和弹簧效应的有效的Macromodel提取技术。该技术应用基于Arnoldi的型号阶减少算法,以从线性化雷诺等式的FEM近似生成低位模型。我们证明,这种用于产生频率依赖性气体阻尼模型的方法比以前的方法速度快100倍,通过瞬态有限元方法解决线性化雷诺等式。低阶气体阻尼模型可以很容易地插入系统级建模包中以进行瞬态和频率分析。模拟结果与四种不同设备的实验结果吻合良好。

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