基于聚合物的MEMS结构的神经网络模型:模态分析方法

Ajayakumar Katageri, B. G. Sheeparamatti
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引用次数: 1

摘要

高分子材料在微结构制造中的应用已成为近年来MEMS技术的发展趋势。本文采用SU8高分子材料设计和模拟了四种不同的微观结构。采用COMSOL multiphysics对所有结构进行仿真,计算模态频率。利用标准数学方程对仿真结果进行了解析验证。然后使用神经网络对模拟的结构进行建模,以计算给定结构在期望模态频率下的尺寸。并对不同结构下的仿真结果、分析结果和人工神经网络结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An ANN model of polymer based MEMS structures: A modal analysis approach
Use of polymer material in manufacturing of microstructures has been a trend in recent MEMS technology. One such trend is employed in this paper where in four different micro structures are designed and simulated using SU8 polymer material. All the architectures are simulated using COMSOL Multi physics to compute modal frequency. The simulation results are verified analytically using a standard mathematical equations. The simulated architectures are then modelled using neural network to compute the dimensions of a given architecture for a desired modal frequency. Also the simulation results, the analytical results and the ANN results are compared for the various architectures.
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