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Biomimetic idealization of a mechanically coupled acoustic sound sensing mechanism

机译:机械耦合声感测机制的仿生理想化

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This paper presents the idealization of a mechanically coupled acoustic sensor mechanism for directivity with the use of polysilicon, which has ideal mechanical and electrical material properties in terms of micro-fabrication. A mathematical model related to mechanical sensitivity is developed as a function of the material properties and geometry of the sensor, which evaluates the characteristics of a two-degree-of-freedom-based lumped parameter model. A challenge in such a study is that the model needs to be simple but sufficiently sophisticated to capture the characteristics of the sensor mechanism. Eigen modes and frequencies of the mechanically coupled acoustic sensor mechanism are determined by an energy method using mode functions applicable to the complete system that are from admissible the mode functions chosen for the component elements of the system. The synthesis is accomplished by using equations of constraint that follow conditions imposed by force equilibrium and deflection compatibility at the junctions. Finally, the results are compared with those obtained by a full-scale finite element model developed in a commercial software package. The predicted first and second natural frequencies differed by less than 10% and 3%, respectively, in all test cases.
机译:本文介绍了使用多晶硅的机械耦合声传感器机制对方向性的理想化,多晶硅在微细加工方面具有理想的机械和电气材料性能。根据机械的材料特性和几何形状,开发了与机械灵敏度有关的数学模型,该模型评估了基于两自由度的集总参数模型的特性。这项研究面临的挑战是模型必须简单但要足够复杂才能捕获传感器机制的特征。机械耦合的声传感器机构的本征模式和频率是通过能量方法使用适用于整个系统的模式函数确定的,这些模式函数是从为系统的组成部分选择的允许模式函数中选择的。通过使用约束方程来完成综合,该约束方程遵循力平衡和交界处的挠度兼容性所施加的条件。最后,将结果与通过商业软件包开发的全尺寸有限元模型获得的结果进行比较。在所有测试案例中,预测的第一和第二固有频率分别相差不到10%和3%。

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