期刊文献+

表面部分电极的含金属芯压电纤维振动传感特性研究 被引量:3

Vibration sensing behavior of piezoelectric fiber with partially coated metal core
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摘要 含金属芯压电纤维是一种新型的压电传感器,建立了表面部分电极的含金属芯压电纤维(PMPF)的振动传感理论模型。把悬臂梁结构的纤维固定在振动源上,根据第四类压电方程,基于振动理论,推导了在其固定端受到简谐振动和冲击振动激振条件下,纤维两电极间产生的电压值;根据理论和数值仿真结果,分析了表面电极分布角度、纤维长度对产生电压的影响,及PMPF的尺寸参数对其一阶共振频率的影响。实验结果表明,在测量振动源简谐振动和冲击振动的频率和幅值时,PMPF能有较好的传感性能。 A partially coated metal core piezoelectric fiber( PMPF) is one of the new types of piezoelectric sensors.A theoretical model was derived when a cantilevered PMPF was fixed on a vibration source. When sinusoidal vibration or impulsive vibration was applied at the fixed end of the cantilevered PMPF,the voltage between two electrodes on PMPF was calculated based on the piezoelectric constitutive equation and the vibration theory. The effects of structural parameters of PMPF on the first resonance frequency were studied theoretically. The contributions to the voltage produced on the fiber related to the distribution angle of surface electrodes and the length of fiber were also analyzed. The sensing properties of the sensor were studied experimentally. The experimental results show that the sensor has a good performance for measuring the frequency and amplitude of sinusoidal vibration and impulsive vibration.
出处 《振动与冲击》 EI CSCD 北大核心 2015年第24期20-25,共6页 Journal of Vibration and Shock
基金 国家自然科学基金(51275447) 江苏省自然科学基金(BK2012257)
关键词 压电纤维 压电传感器 振动传感器 方向传感器 仿生 piezoelectric fiber piezoelectric sensor vibration sensor directional sensor bionics
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参考文献15

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二级参考文献32

  • 1Tani J, Takagi T, Qiu J. Intelligent Material Systems: Application of Functional Materials [ J ]. Applied Mechanics Reviews, ASME, 1998, 51 (8) :505 -521.
  • 2Sebald G, Qiu J H, Guyomar D, et al.. Modeling and Characterization of Piezoelectric Fibers with Metal Core [J]. Japanese Journal of Applied Physics, 2005, 44 (8): 6156 -6163.
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  • 9Takagi K, Sato H, Saigo M. Damage detection and gainscheduled control of CFRP smart board mounting the metal core assisted piezoelectric fiber[C]//. Proc. of SPIE, Smart Structures and Materials 2005 : Modeling, Signal Processing, and Control, Vol. 5757. 2005, 471 -480.
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