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Design optimization of RF-MEMS switch considering thermally induced residual stress and process uncertainties

机译:考虑热感应残余应力和工艺不确定性的RF-MEMS开关设计优化

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摘要

This paper presents the Design of Experiments (DOE) based parametric design optimization of the Symmetric Toggle RF-MEMS Switch (STS) for minimizing the actuation voltage considering the fabrication process uncertainties and thermally induced residual stress. Initially, three-dimensional (3D) non-linear Finite Element Method (FEM) models are developed and the formation of residual stress during the plasma etching step of the microfabrication process is explained using the Bauschinger effect. The pull-in voltage values and the switch profiles obtained after the thermal loading-unloading cycle in the FEM models are compared with the experimental values and optical profile measurements which showed a close agreement. A DOE based Dual Response Surface Methodology (DRSM) is implemented to identify the significant design parameters affecting the STS switch pull-in voltage in the presence of thermally induced residual stress. Two separate response surface empirical models are developed; one for the mean pull-in voltage and other for variation in the pull-in voltage due to microfabrication process tolerances. The developed response surface models are optimized simultaneously using the desirability function approach. The optimal levels of the design parameters that result in minimum pull-in voltage with increased insensitivity to process uncertainties are obtained using the direct search algorithm. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文介绍了基于实验设计(DOE)的对称拨动RF-MEMS开关(STS)的参数设计优化,以考虑制造过程的不确定性和热感应残余应力来最小化驱动电压。最初,开发了三维(3D)非线性有限元方法(FEM)模型,并使用包辛格效应解释了微细加工过程的等离子蚀刻步骤过程中残余应力的形成。将FEM模型中的热加载-卸载循环后获得的吸合电压值和开关曲线与实验值和光学曲线测量结果进行了比较,结果显示出一致的结论。实现了基于DOE的双响应表面方法(DRSM),以识别在存在热诱发残余应力的情况下影响STS开关引入电压的重要设计参数。建立了两个单独的响应面经验模型。一个用于平均引入电压,另一个用于由于微细加工工艺公差而导致的引入电压变化。使用期望函数方法同时优化了开发的响应面模型。使用直接搜索算法可获得导致最小吸合电压且对工艺不确定性不敏感的设计参数的最佳水平。 (C)2015 Elsevier Ltd.保留所有权利。

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