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Application of Nonlinear Regression Method in the Evaluation of Piezoelectric Materials

机译:非线性回归法在压电材料评价中的应用

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This article applies nonlinear regression method in characterizing a lossy piezoelectric material, i.e. PVDF (polyvinylidene fluoride), which has been widely used for ultrasonic transducer design. The characterization is based on the measurement of electrical impedance. A computer based data acquisition system is built to collect the data. The fitting process is then applied to the collected data. The best fit parameters are achieved at the selected frequency range, which is in good agreement between the modeled impedance curve and experimental data points at resonance region. The whole data collection and evaluation process can be easily and fast implemented within a few minutes. The design and simulation of piezoelectric materials based MEMS ultrasonic transducer is one of the motivations for developing this method. The evaluated piezoelectric material parameters will be imported to the later transducer modeling to improve the design accuracy of MEMS devices with a reduced design period.
机译:本文适用于表征损失压电材料的非线性回归方法,即PVDF(聚偏二氟乙烯),其广泛用于超声换能器设计。表征基于电阻抗的测量。构建基于计算机的数据采集系统以收集数据。然后将拟合过程应用于收集的数据。在所选择的频率范围内实现了最佳拟合参数,其在建模阻抗曲线和谐振区域的实验数据点之间处于良好的一致性。整个数据收集和评估过程可以在几分钟内很容易且快速地实现。基于压电材料的MEMS超声换能器的设计和仿真是开发该方法的动机之一。评估的压电材料参数将导入后来的换能器建模,以提高MEMS器件的设计精度,设计期限。

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