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Determination of microscopic parameters of piezoceramic materials under electrical loading using genetic algorithm

机译:用遗传算法确定电载荷下压电陶瓷材料的微观参数。

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The purpose of this study is the characterization of microscopic parameters of piezoceramic materials, such as spontaneous polarization and spontaneous strain. In previous works, a model has been developed by bridging characteristics of microscopic domain distribution into the macroscopic behavior. It reproduces longitudinal strain and electrical displacement as a function of uniaxial electrical loading, according to material parameters and applied electrical field. Optimization is performed between theoretical and experimental hysteresis curves. This method is based on a genetic algorithm procedure in order to ensure robust convergence even if the system is multimodal. Materials used in this study are PLZT8/65/35 and PZT-5A. After optimization, experimental curves are well fitted to theoretical curves and a good agreement has been shown between retrieved parameters and values reported in literature. This validates domain wall modeling and genetic algorithm as an efficient way to characterize piezoceramic materials under harsh operating conditions.
机译:这项研究的目的是表征压电陶瓷材料的微观参数,例如自发极化和自发应变。在先前的工作中,已经通过将微观域分布的特征桥接到宏观行为中来开发模型。根据材料参数和施加的电场,它会根据单轴电负载再现纵向应变和电位移。在理论和实验磁滞曲线之间进行优化。此方法基于遗传算法过程,即使系统是多模式的,也可以确保稳健的收敛性。本研究中使用的材料是PLZT8 / 65/35和PZT-5A。经过优化后,实验曲线与理论曲线完全吻合,并且检索到的参数与文献报道的值之间显示出良好的一致性。这验证了畴壁建模和遗传算法是在苛刻的工作条件下表征压电陶瓷材料的有效方法。

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