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Mechanics of Advanced Materials and Structures Volume 31, 2024 - Issue 15
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Original Articles

Microstructure design and optimization of multilayered piezoelectric composites with wavy architectures

Xiaoyu Zhaoa Department of Automotive Engineering, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, ChinaView further author information
,
Jinhui Wanga Department of Automotive Engineering, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, ChinaView further author information
,
Qiang Chenb Arts et Métiers Institute of Technology, CNRS, Universitéde Lorraine, Metz, FranceView further author information
,
Haobin Jiangc School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, ChinaORCID Iconhttps://orcid.org/0000-0002-0851-479XView further author information
ORCID Icon,
Caifeng Chend School of Materials Science and Engineering, Jiangsu University, Zhenjiang, ChinaView further author information
&
Wenqiong Tuc School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, ChinaCorrespondence[email protected]
View further author information
Pages 3216-3232 | Received 07 Sep 2022, Accepted 19 Jan 2023, Published online: 06 Feb 2023
 
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Abstract

In this article, the impact of poling direction and microstructure geometric parameters including PZT-7A volume fraction, PZT-7A layer number and unit cell amplitude-to-wavelength ratio on the homogenized electromechanical properties of PZT-7A/PVDF multilayered wavy composites are explored for the first time with the Multiphysics FVDAM. Then, a comprehensive parametric study is conducted toward microstructure effects of the above geometric parameters on the performance of the piezoelectric composites, evaluated by figures of merits. Further, the Particle Swarm Optimization algorithm is proposed to combine with the Multiphysics FVDAM to effectively maximize the performance indices by optimizing the microstructure geometric parameters.

Additional information

Funding

W. Tu acknowledges the support of Jiangsu University Faculty Startup Fund (5501120014) and Jiangsu Shuangchuang Doctor Program (1711120022).

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