用于增加压电能量采集器功率输出的嵌入式超材料副框架贴片

IF 2 Q2 ENGINEERING, MULTIDISCIPLINARY
Saman Farhangdoust, E. GeorgesonGary, J. Ihn, A. Mehrabi
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引用次数: 3

摘要

近年来,压电能量收集(PEH)作为一种清洁的可再生能源,被引入到用于结构无线状态监测的自供电传感器中。然而,低效率是PEHs最大的缺点。本文介绍了一种创新的嵌入式超材料子框架(MetaSub)补丁,作为解决传统PEHs低吞吐量限制的实用解决方案,其主机结构已经构建或安装。为了评估嵌入式MetaSub贴片(EMSP)的性能,本研究采用悬臂梁作为主体结构。EMSP将形变行为传递给压电元件(PZT),而用形变梁代替常规梁是不可行的或不理想的。数值验证了EMSP的概念,并利用comsol多物理场软件研究了其在不同振幅和频率下悬臂梁的性能。有限元模型结果表明,与无贴片的压电悬臂式能量采集器相比,使用EMSP的情况下,能量采集功率可提高5.5倍。本文为EMSP在生物医学、声学、民用、电气、航空航天和机械工程等不同类型的能量收集系统的应用开辟了巨大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Embedded Metamaterial Subframe Patch for Increased Power Output of Piezoelectric Energy Harvesters
These days, piezoelectric energy harvesting (PEH) is introduced as one of the clean and renewable energy sources for powering the self-powered sensors utilized for wireless condition monitoring of structures. However, low efficiency is the biggest drawback of PEHs. This paper introduces an innovative embedded metamaterial subframe (MetaSub) patch as a practical solution to address the low throughput limitation of conventional PEHs whose host structure has already been constructed or installed. To evaluate the performance of the embedded MetaSub patch (EMSP), a cantilever beam is considered as the host structure in this study. The EMSP transfers the auxetic behavior to the piezoelectric element (PZT) wherever substituting a regular beam with an auxetic beam is either impracticable or suboptimal. The concept of the EMSP is numerically validated, and the comsol multiphysics software was employed to investigate its performance when a cantilever beam is subjected to different amplitude and frequency. The finite element model results demonstrate that the harvesting power in cases that use the EMSP can be amplified up to 5.5 times compared to a piezoelectric cantilever energy harvester without patch. This paper opens up a great potential of using EMSP for different types of energy harvesting systems in biomedical, acoustics, civil, electrical, aerospace, and mechanical engineering applications.
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来源期刊
CiteScore
3.80
自引率
9.10%
发文量
25
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