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Evolutionary multi-objective design optimisation of energy harvesting MEMS: The case of a Piezoelectric

机译:能量采集MEMS的进化多目标设计优化:以压电为例

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The design and optimisation of Energy Harvesting (EH) Micro-Electromechanical-Systems (MEMS) is of particular interest in this research. The application of such devices is becoming an attractive alternative to the traditional use of batteries in wireless and body sensor networks. An evolutionary Multi-Objective Design Optimisation (DO) Framework is developed to experiment with one class of EH-MEMS, namely, Piezoelectric, using a reconstructed analytical model of the system. The application of such a Framework in this application domain is unprecedented and has already shown very promising results and in some cases it outperformed the human engineer. A thorough analysis of the results has been undertaken, which reveals interesting conclusions about the behaviour and physics of such devices. Besides, the main features of the Framework are explored enabling the enhancement of the MEMS-DO.
机译:这项研究特别关注能量收集(EH)微机电系统(MEMS)的设计和优化。此类设备的应用正在成为无线和人体传感器网络中传统电池使用的一种有吸引力的替代方法。开发了一种进化的多目标设计优化(DO)框架,以使用系统的重构分析模型对一类EH-MEMS(即压电)进行实验。这种框架在该应用领域中的应用是空前的,并且已经显示出非常有希望的结果,并且在某些情况下,它的性能优于人类工程师。已经对结果进行了详尽的分析,其中揭示了有关此类设备的行为和物理特性的有趣结论。此外,还探讨了该框架的主要功能,从而可以增强MEMS-DO。

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