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Nonlinear piezoelectricity in electroelastic energy harvesters: Modeling and experimental identification

机译:电弹性能量采集器中的非线性压电性:建模和实验鉴定

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摘要

We propose and experimentally validate a first-principles based model for the nonlinear piezoelectric response of an electroelastic energy harvester. The analysis herein highlights the importance of modeling inherent piezoelectric nonlinearities that are not limited to higher order elastic effects but also include nonlinear coupling to a power harvesting circuit. Furthermore, a nonlinear damping mechanism is shown to accurately restrict the amplitude and bandwidth of the frequency response. The linear piezoelectric modeling framework widely accepted for theoretical investigations is demonstrated to be a weak presumption for near-resonant excitation amplitudes as low as 0.5 g in a prefabricated bimorph whose oscillation amplitudes remain geometrically linear for the full range of experimental tests performed (never exceeding 0.25% of the cantilever overhang length). Nonlinear coefficients are identified via a nonlinear least-squares optimization algorithm that utilizes an approximate analytic solution obtained by the method of harmonic balance. For lead zirconate titanate (PZT-5H), we obtained a fourth order elastic tensor component of c_(1111)~p =-3.6673×10~(17) N/m~2 and a fourth order electroelastic tensor value of e_(3111) = 1.7212 ×10~8 m/V.
机译:我们提出并实验验证了基于第一原理的电弹性能量采集器的非线性压电响应模型。本文的分析强调了对固有的压电非线性进行建模的重要性,这种非线性不仅限于高阶弹性效应,还包括与功率采集电路的非线性耦合。此外,显示了一种非线性阻尼机制,可以精确地限制频率响应的幅度和带宽。线性压电建模框架被广泛接受用于理论研究,被证明是对预制双压电晶片中低至0.5 g的近共振激励幅度的弱假设,其在整个实验测试范围内振荡幅度保持几何线性(从未超过0.25)悬臂突出长度的百分比)。非线性系数是通过非线性最小二乘优化算法识别的,该算法利用谐波平衡方法获得的近似解析解。对于锆钛酸铅(PZT-5H),我们获得了c_(1111)〜p = -3.6673×10〜(17)N / m〜2的四阶弹性张量分量和e_(3111)的四阶电弹性张量值)= 1.7212×10〜8 m / V。

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  • 来源
    《Journal of Applied Physics》 |2010年第7期|p.074903.1-074903.9|共9页
  • 作者单位

    Department of Mechanical Engineering, Nonlinear Dynamical Systems Laboratory, Duke University,Durham, North Carolina 27708, USA;

    rnDepartment of Mechanical Engineering, Center for Intelligent Material Systems and Structures,Virginia Tech, Blacksburg, Virginia 24061, USA;

    rnDepartment of Mechanical Engineering, Nonlinear Dynamical Systems Laboratory, Duke University,Durham, North Carolina 27708, USA;

    rnDepartment of Mechanical Engineering, Center for Intelligent Material Systems and Structures,Virginia Tech, Blacksburg, Virginia 24061, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
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