Modeling of Piezoelectric Ceramics Based on Partial Least-Square Regression Method

Xue Jun Zhu; Zhi Wen Zhu

doi:10.4028/www.scientific.net/AMR.139-141.13

Paper Titles

Committees and Preface

Fabrication, Characterisation and Application of Carbon Nanotube Polymer Composites
p.1

Influence of Multi-Walled Carbon Nanotubes on the Mechanical Properties of Nanocomposites
p.9

Modeling of Piezoelectric Ceramics Based on Partial Least-Square Regression Method
p.13

Mesh-Free Numerical Simulation for Carbon Nanotubes upon Bending
p.17

Ab Initio Study of the Structural and Mechanical Properties of Hf-Si-N
p.22

Nanocomposite Materials Design and the Sintering Optimization Based on Interface Strengthening
p.26

Influence of Nano-CaCO₃ on the Properties of Magneto-Rheological Fluid
p.30

Study on the Preparation of Fe₃O₄ Nano-Magnetic Fluid for Seal
p.34

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 139-141Modeling of Piezoelectric Ceramics Based on...

Modeling of Piezoelectric Ceramics Based on Partial Least-Square Regression Method

Abstract:

In this paper, a kind of piezoelectric ceramics model based on hysteretic nonlinear theory has been developed. Van de Pol nonlinear difference item was introduced to interpret the hysteresis phenomenon of the voltage-strain curve of piezoelectric ceramics. The coupling relationship between voltage and stress was obtained in partial least-square regression method to describe the driftage phenomenon of the voltage-strain curve in different stress. Based on above, the final relationship among strain, stress and voltage was set up. The results of significance test showed that the new model could describe the hysteresis characteristics of piezoelectric ceramics in different stress well. The new piezoelectric ceramics model considers the effect of stress, and is easy to be analyzed in theory, which is helpful to vibration control.

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Periodical:

Advanced Materials Research (Volumes 139-141)

Pages:

13-16

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.139-141.13

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Online since:

October 2010

Authors:

Xue Jun Zhu, Zhi Wen Zhu

Keywords:

Hysteretic Nonlinearity, Partial Least Square Regression (PLSR)

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