Validation and optimization of two models for the magnetic restoring forces using a multi-stable piezoelectric energy harvester

被引:1
作者
Li, Haining [1 ]
Liu, Kefu [1 ,4 ]
Deng, Jian [2 ]
Li, Bing [3 ]
机构
[1] Lakehead Univ, Dept Mech Engn, Thunder Bay, ON, Canada
[2] Lakehead Univ, Dept Civil Engn, Thunder Bay, ON, Canada
[3] Harbin Inst Technol, Coll Mech & Elect Engn, Shenzhen, Guangdong, Peoples R China
[4] Lakehead Univ, Dept Mech Engn, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Canada
关键词
Multi-stable energy harvester; magnetic restoring force; equivalent magnetic point dipole approach; equivalent magnetic 2-point dipole approach; model validation and optimization; PERFORMANCE; GENERATOR; DESIGN;
D O I
10.1177/1045389X221151064
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:1688 / 1701
页数:14
相关论文
共 48 条
[41]   Nonlinear multi-modal energy harvester and vibration absorber using magnetic softening spring [J].
Wang, Xi ;
Wu, Haomin ;
Yang, Bintang .
JOURNAL OF SOUND AND VIBRATION, 2020, 476
[42]   Numerical and experimental analysis of piezoelectric vibration energy harvester in IoT based F-SEPS application using optimization techniques [J].
Mangaiyarkarasi, P. ;
Lakshmi, P. .
MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2021, 27 (08) :2955-2979
[43]   Performance enhanced piezoelectric rotational energy harvester using reversed exponentially tapered multi-mode structure for autonomous sensor systems [J].
Raja, V. ;
Umapathy, M. ;
Uma, G. ;
Usharani, R. .
JOURNAL OF SOUND AND VIBRATION, 2023, 544
[44]   A novel M-shaped 2-DOF piezoelectric energy harvester with built-in outer-inner magnetic tri-stable oscillators for energy converting enhancement and applications [J].
Li, Guangbo ;
Wang, Guangqing ;
Zhou, Yuyang ;
Hou, Lugang ;
Jiang, Yifan .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2024, 208
[45]   Developing a two-criteria framework to rank thermal insulation materials in nearly zero energy buildings using multi-objective optimization approach [J].
Amani, Nima ;
Kiaee, Ehsan .
JOURNAL OF CLEANER PRODUCTION, 2020, 276
[46]   Multi-objective optimization for generative morphological design using energy and comfort models with a practical design of new rural community in China [J].
Li, Run ;
Luo, Linxi ;
Li, Xiangfeng ;
Wu, Jiyuan ;
Jiang, Feifeng ;
Wang, Wei .
ENERGY AND BUILDINGS, 2024, 313
[47]   Development and comparison of two new multi-period queueing reliability models using discrete-event simulation and a simulation-optimization approach [J].
Frichi, Youness ;
Jawab, Fouad ;
Aboueljinane, Lina ;
Boutahari, Said .
COMPUTERS & INDUSTRIAL ENGINEERING, 2022, 168
[48]   Multi-objective optimization of injection molding process parameters in two stages for multiple quality characteristics and energy efficiency using Taguchi method and NSGA-II [J].
Tian, Maosheng ;
Gong, Xiaoyun ;
Yin, Ling ;
Li, Haizhou ;
Ming, Wuyi ;
Zhang, Zhen ;
Chen, Jihong .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 89 (1-4) :241-254