Department of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milano, Italy.
STMicroelectronics, AMG R&D, 20010 Cornaredo, Italy.
Sensors (Basel). 2018 Jul 4;18(7):2157. doi: 10.3390/s18072157.
MicroElectroMechanical Systems (MEMS) resonators are attracting increasing interest because of their smaller size and better integrability as opposed to their quartz counterparts. However, thermal drift of the natural frequency of silicon structures is one of the main issues that has hindered the development of MEMS resonators. Extensive investigations have addressed both the fabrication process (e.g., introducing heavy doping of the silicon) and the mechanical design (e.g., exploiting proper orientation of the device, slots, nonlinearities). In this work, starting from experimental data published in the literature, we show that a careful design can help reduce the thermal drift even when slots are inserted in the devices in order to decrease thermoelastic losses. A custom numerical code able to predict the dynamic behavior of MEMS resonators for different materials, orientations and doping levels is coupled with an evolutionary optimization algorithm and the possibility to find an optimal mechanical design is demonstrated on a tuning-fork resonator.
微机电系统(MEMS)谐振器由于其体积更小、与石英相比更好的集成性而引起了越来越多的关注。然而,硅结构的自然频率的热漂移是阻碍 MEMS 谐振器发展的主要问题之一。广泛的研究已经解决了制造工艺(例如,引入硅的重掺杂)和机械设计(例如,利用器件的适当取向、槽和非线性)这两个方面。在这项工作中,我们从文献中发表的实验数据出发,表明即使在器件中插入槽以降低热弹损耗,仔细的设计也有助于减少热漂移。我们将一个能够预测不同材料、取向和掺杂水平的 MEMS 谐振器的动态行为的定制数值代码与一个进化优化算法耦合起来,并在音叉谐振器上展示了寻找最佳机械设计的可能性。