Size Effect of a Piezoelectric Patch on a Rectangular Plate with the Neural Network Model.

Hequn Min,Jie Zhang,Mu Fan

doi:10.3390/ma14123240

Abstract

Artificial neural networks have been widely used in many studies, such as the prediction of the piezoelectric effect of the plate of engineering structures in vibration and noise reduction. In this paper, an artificial neural network (ANN) model was employed to explore the piezoelectric patch size and thickness’s effect on the first order natural frequency and displacement amplitude of a plate. With the finite element method (FEM), a rectangular plate actuated by a piezoelectric patch was analyzed with various patch sizes. The FEM data was later used to build an ANN model. The dynamic response of the plate was predicted by the ANN model and validated with FEM in terms of 1st order natural frequency and displacement amplitude. Results from case studies showed that with the input of patch length, width and thickness, ANN model can accurately predict both natural frequency and displacement amplitude. When the input of ANN model was simplified to patch size and thickness or the volume of the patch, the accuracy became worse and worse. The influence of the patch size and thickness on the first order natural frequency was coupled and the maximal and minimal values were predicted based on the ANN model.

Highlights

In the past few decades, piezoelectric devices triggered or driven by a mechanical deformation have been invented and used in various engineering systems and applications, such as transducers, electromechanical sensors, actuators, and energy generators
Zhang and Kang’s paper investigates topology optimization of the piezoelectric actuator/sensor coverage attached to a thin-shell structure to improve the active control performance for reducing the dynamic response under transient excitations
Taking a rectangular plate with four sides clamped as our case study, the dynamic response of the plate was predicted by the artificial neural network (ANN) model and validated with finite element method (FEM) in terms of first order natural frequency and displacement amplitude

Summary

Introduction

In the past few decades, piezoelectric devices triggered or driven by a mechanical deformation have been invented and used in various engineering systems and applications, such as transducers, electromechanical sensors, actuators, and energy generators. Zhang and Kang’s paper investigates topology optimization of the piezoelectric actuator/sensor coverage attached to a thin-shell structure to improve the active control performance for reducing the dynamic response under transient excitations. Reddy et al presented a simple negative speed feedback control algorithm that combines the direct and the converse piezoelectric effects to actively control the dynamic response of the integrated structure through closed-loop control [9]. All these studies have shown that the field of piezoelectric effect research has experienced tremendous growth in research and development

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Discussion

Conclusion