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Metamodel-assisted design optimization of piezoelectric flex transducer for maximal bio-kinetic energy conversion

机译:压电挠性换能器的元模型辅助设计优化,可实现最大的生物动力学能量转换

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摘要

Energy-harvesting devices have been widely used to generate electrical power from the bio-kinetic energy of human body movement. A novel piezoelectric flex transducer based on the Cymbal device has been proposed by other researchers for the purpose of energy harvesting. To further improve the efficiency of the device, optimal design of the piezoelectric flex transducer for maximum output power subject to stress and displacement constraints is carried out in this article. Sequential quadratic programming on metamodels generated with genetic programming from a 140-point optimal Latin hypercube design of experiments is used in the optimization. Finally, the optimal design is validated by finite element simulations. The simulations show that the magnitude of the electrical power generated from this optimal piezoelectric flex transducer harvesting device can be up to 6.5MW when a safety design factor of 2.0 is applied.
机译:能量收集装置已被广泛用于从人体运动的生物动能中产生电能。其他研究人员已经提出了一种基于Cymbal装置的新型压电挠曲传感器,以进行能量收集。为了进一步提高设备的效率,本文对压电挠性换能器进行了优化设计,以使其最大输出功率受到应力和位移约束。在优化中使用了对遗传模型生成的元模型的顺序二次编程,该遗传模型是根据140点最佳拉丁超立方体实验设计的遗传编程生成的。最后,通过有限元仿真验证了最佳设计。仿真显示,当应用安全设计系数2.0时,从这种最佳的压电挠性换能器采集设备产生的电功率可以达到6.5MW。

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