Meso-scale energy harvester: a comparison between MEMS and micromachined designs

Guilherme C. Miron, D. Braga, J. Cordioli
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Abstract

With smaller, cheaper, and more energy-efficient electrical components, energy harvesting systems have been a more attractive source of energy supply for wireless sensors, transducers, and other devices. One great example of mostly unused energy is the vibration of industrial machines. Along with the rise of predictive maintenance, more wireless sensors have been used to monitor those machines. Where the vibration energy present in those machines can be used to extend the sensor’s life constrained by the battery. This work presents two fabrication approaches to design these devices using the piezoelectric principle: MEMS fabrication and micro-machined devices. MEMS are widely investigated for harvesting purposes for their capability of building complex microscale structures (< 0.1 cm3). However, it can be difficult to designing MEMS energy harvesting systems for the low frequency range (40 Hz to 200 Hz), which is the operating range for standard industrial machines. The adapted micro-machined harvesters from off-the-shelf piezoelectric components mostly used in macro-scale applications (> 10 cm3), can be an alternative in this situation. Numerical models were developed to simulate the dynamic behavior of the piezoelectric device and used as input for design optimization. The models were improved using a differential evolution algorithm optimizing in terms of the Normalized Power Density (NPD) and Mechanical stress. In order to validate these models, prototypes were built ns tested, with the results compared considering the NPD and frequency bandwidth. The optimization process raised key design aspects of meso-scale low-frequency piezoelectric devices, including stress limits of thin-film piezoelectric and fabrication complexity, Overall, these aspects suggest that there is an advantage of micro-machined designs over MEMS devices for these applications.
中观尺度能量收集器:MEMS与微机械设计的比较
有了更小、更便宜、更节能的电子元件,能量收集系统已经成为无线传感器、传感器和其他设备的更有吸引力的能源供应来源。工业机器的振动是大部分未使用能源的一个很好的例子。随着预测性维护的兴起,越来越多的无线传感器被用于监控这些机器。在这些机器中存在的振动能量可以用来延长受电池限制的传感器的寿命。这项工作提出了两种制造方法来设计这些器件使用压电原理:MEMS制造和微机械设备。MEMS因其构建复杂微尺度结构(< 0.1 cm3)的能力而被广泛研究。然而,在低频率范围(40 Hz至200 Hz)设计MEMS能量收集系统可能很困难,这是标准工业机器的工作范围。从现成的压电元件改编的微机械收割机主要用于宏观应用(> 10 cm3),可以在这种情况下成为一种替代方案。建立了数值模型来模拟压电器件的动态行为,并将其作为设计优化的输入。根据归一化功率密度(NPD)和机械应力,采用差分进化算法对模型进行了优化。为了验证这些模型,建立了原型并进行了测试,并将结果与NPD和频率带宽进行了比较。优化过程提出了中尺度低频压电器件的关键设计方面,包括薄膜压电的应力极限和制造复杂性,总的来说,这些方面表明在这些应用中,微机械设计比MEMS器件具有优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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