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Validation and optimization of two models for the magnetic restoring forces using a multi-stable piezoelectric energy harvester.
Li, Haining; Liu, Kefu; Deng, Jian; Li, Bing.
Afiliación
  • Li H; Department of Mechanical Engineering, Lakehead University, Thunder Bay, ON, Canada.
  • Liu K; Department of Mechanical Engineering, Lakehead University, Thunder Bay, ON, Canada.
  • Deng J; Department of Civil Engineering, Lakehead University, Thunder Bay, ON, Canada.
  • Li B; College of Mechanical and Electrical Engineering, Harbin Institute of Technology, Shenzhen, Guangdong, China.
J Intell Mater Syst Struct ; 34(14): 1688-1701, 2023 Aug.
Article en En | MEDLINE | ID: mdl-37521728
ABSTRACT
This article presents a tunable multi-stable piezoelectric energy harvester. The apparatus consists of a stationary magnet and a cantilever beam whose free end is attached by an assembly of two cylindrical magnets that can be moved along the beam and a small cylindrical magnet that is fixed at the beam tip. By varying two parameters, the system can assume three stability states tri-stable, bi-stable, and mono-stable, respectively. The developed apparatus is used to validate two models for the magnetic restoring force the equivalent magnetic point dipole approach and the equivalent magnetic 2-point dipole approach. The study focuses on comparing the accuracy of the two models for a wide range of the tuning parameters. The restoring forces of the apparatus are determined dynamically and compared with their analytical counterparts based on each of the models. To improve the model accuracy, a model optimization is carried out by using the multi-population genetic algorithm. With the optimum models, the parametric sensitivity of each of the models is investigated. The stability state region is generated by using the optimum second model.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Intell Mater Syst Struct Año: 2023 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Intell Mater Syst Struct Año: 2023 Tipo del documento: Article País de afiliación: Canadá
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