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Studying the Effect of Deposition Conditions on the Performance and Reliability of MEMS Gas Sensors

机译:研究沉积条件对MEMS气体传感器性能和可靠性的影响

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摘要

In this paper, the reliability of a micro-electro-mechanical system (MEMS)-based gas sensor has been investigated using Three Dimensional (3D) coupled multiphysics Finite Element (FE) analysis. The coupled field analysis involved a two-way sequential electrothermal fields coupling and a one-way sequential thermal-structural fields coupling. An automated substructuring code was developed to reduce the computational cost involved in simulating this complicated coupled multiphysics FE analysis by up to 76 percent. The substructured multiphysics model was then used to conduct a parametric study of the MEMS-based gas sensor performance in response to the variations expected in the thermal and mechanical characteristics of thin films layers composing the sensing MEMS device generated at various stages of the microfabrication process. Whenever possible, the appropriate deposition variables were correlated in the current work to the design parameters, with good accuracy, for optimum operation conditions of the gas sensor. This is used to establish a set of design rules, using linear and nonlinear empirical relations, which can be utilized in real-time at the design and development decision-making stages of similar gas sensors to enable the microfabrication of these sensors with reliable operation.
机译:在本文中,已使用三维(3D)耦合多物理场有限元(FE)分析研究了基于微机电系统(MEMS)的气体传感器的可靠性。耦合场分析涉及到双向顺序电热场耦合和单向顺序热结构场耦合。开发了自动子结构代码,以将模拟这种复杂的耦合多物理场有限元分析所涉及的计算成本降低多达76%。然后,使用子结构化的多物理场模型对基于MEMS的气体传感器性能进行参数研究,以响应在微加工过程的各个阶段生成的构成传感MEMS器件的薄膜层的热和机械特性的预期变化。在可能的情况下,将适当的沉积变量在当前工作中与设计参数相关联,以确保气体传感器的最佳操作条件具有良好的精度。这用于建立使用线性和非线性经验关系的设计规则集,可以在类似气体传感器的设计和开发决策阶段实时使用这些规则,以使这些传感器的微制造具有可靠的操作。

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