基于声学黑洞的压电俘能结构系统仿真与优化
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国家自然科学基金资助项目(51405093);广西自然科学基金资助项目(2018GXNSFAA281276,2018GXNSFBA281012);校级创新基金资助项目(2019YCXS008)

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System Simulation and Optimization of Piezoelectric Energy Harvesting Structure Based on Acoustic Black Hole
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    摘要:

    薄板结构中的声学黑洞(ABH)可降低弯曲波的相速度,同时增大振幅,在声学黑洞区域产生高能量密度和能量聚集效应,与压电俘能结构相结合,可提升能量转化效率。该文首先建立了基于声学黑洞的压电俘能结构的有限元模型,对比分析了均匀板及声学黑洞结构的动能密度及电压输出特性;基于有限元法推导了压电振子等效电路模型,并通过Multisim软件建立压电俘能全系统等效电路耦合模型,确定了负载电路最优电阻,提高系统俘能效率。

    Abstract:

    The acoustic black hole (ABH) in the thin plate structure can reduce the phase velocity of the curved wave, increase the amplitude, and generate high energy density in the acoustic black hole region and energy aggregation effect. Combining ABH with piezoelectric energy harvesting structure, the energy conversion efficiency can be improved. In this paper, the finite element model of piezoelectric energy harvesting structure based on acoustic black hole is established firstly. The kinetic energy density and voltage output characteristics of uniform plate and acoustic black hole structure are compared and analyzed. Based on the finite element method, the equivalent circuit model of piezoelectric vibrator is derived, and the equivalent circuit coupling model of piezoelectric energy harvesting system is established by multisim software. The optimal resistance of the load circuit is determined and the energy harvesting efficiency of the system is improved.

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汪恒,郑伟光,何仕明,陈姗姗.基于声学黑洞的压电俘能结构系统仿真与优化[J].压电与声光,2019,41(5):728-732. WANG Heng, ZHENG Weiguang, HE Shiming, CHEN Shanshan. System Simulation and Optimization of Piezoelectric Energy Harvesting Structure Based on Acoustic Black Hole[J]. PIEZOELECTRICS AND ACOUSTOOPTICS

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  • 在线发布日期: 2019-10-18
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