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EXTRACTION OF FREQUENCY DEPENDENT MACRO-MODELSFOR GAS DAMPING AND SPRING EFFECTS FOR MEMS DEVICES

机译:提取与频率相关的宏模型 r n以实现MEMS设备的气体阻尼和弹簧效应

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In this paper, we present an efficient macromodel extractionrntechnique for gas damping and spring effects for arbitrarilyrnshaped geometry. The technique applies an Arnoldi-basedrnmodel-order-reduction algorithm to generate low-order modelsrnfrom a FEM approximation of the linearized Reynolds equation.rnWe demonstrate that this approach for generating thernfrequency-dependent gas-damping model is more than 100rntimes faster than previous approaches, which solves thernlinearized Reynolds equation using a transient finite-elementrnmethod. The low-order gas-damping model can be easilyrninserted into a system-level modeling package for transient andrnfrequency analysis. The simulated results are in goodrnagreement with experimental results for four different devices.
机译:在本文中,我们提出了一种有效的宏观模型提取技术,用于任意形状的气体的气体阻尼和弹簧效应。该技术采用基于Arnoldi的模型降阶算法从线性化雷诺方程的FEM近似生成低阶模型。我们证明,该生成依赖于频率的气体阻尼模型的方法比以前的方法快100倍以上,它使用瞬态有限元方法求解线性雷诺方程。低阶气体阻尼模型可以很容易地插入系统级建模软件包中,以进行瞬态和低频分析。仿真结果与四种不同设备的实验结果非常吻合。

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