scholarly journals On the energy localization in weakly coupled oscillators for electromagnetic vibration energy harvesting

2019 ◽  
Vol 28 (7) ◽  
pp. 07LT02 ◽  
Author(s):  
Zakaria Zergoune ◽  
Najib Kacem ◽  
Noureddine Bouhaddi
2019 ◽  
Vol 286 ◽  
pp. 01003
Author(s):  
K. Aouali ◽  
Z. Zergoune ◽  
N. Kacem ◽  
E. Mrabet ◽  
N. Bouhaddi ◽  
...  

A multimodal vibration energy harvesting in a periodic system is proposed. The multimodal approach and the nonlinearity are implemented in order to improve the performances of the studied device. The periodic system, based on electromagnetic transduction, consists of two weakly coupled magnets mechanically guided by two elastic beams. The quasi-periodic system is obtained by varying the mass of one of the moving magnets which leads to the vibration energy localization in regions close to the imperfections. This phenomenon is exploited to maximize the harvested energy. The mechanical nonlinearity is introduced by considering large displacements of the beams. The system is modeled by two coupled forced Duffing equations. The governing equations are solved using finite difference method combined with arc-length method. It is shown that the introduction of the nonlinearity leads to the enlargement of the bandwidth and the increase of the amplitude of the vibration.


2018 ◽  
Vol 241 ◽  
pp. 01003 ◽  
Author(s):  
Kaouthar Aouali ◽  
Najib Kacem ◽  
Elyes Mrabet ◽  
Noureddine Bouhaddi ◽  
Mohamed Haddar

Vibration energy harvesting by exploiting the multimodal approach in a quasi-periodic system is proposed. The quasi-periodic system, based on electromagnetic transduction, consists of two weakly coupled magnets mechanically guided by two elastic beams. Mistuning is achieved by varying the mechanical stiffness of one of the beams. These imperfections will lead to the vibration energy localization in regions close to the imperfections which will be exploited to maximize the harvested energy.


Author(s):  
Kaouthar Aouali ◽  
Najib Kacem ◽  
Noureddine Bouhaddi ◽  
Elyes Mrabet ◽  
Mohamed Haddar

Abstract A multimodal electromagnetic vibration energy harvester based on a nonlinear quasi-periodic system is proposed. The multimodal approach and the nonlinearity are implemented in order to improve the output performances of the studied device. The present study investigates a periodic system composed of two weakly coupled magnets and mechanically guided by two elastic beams. The quasi-periodic system is obtained by varying the mass of one of the moving magnets which leads to the vibration energy localization in regions close to the imperfections introduced. This phenomenon is exploited to maximize the harvested energy. The mechanical nonlinearity is introduced by considering large displacements of the beams which is also investigated to maximize the harvested energy and to enlarge the bandwidth of the device. The quasi-periodic system is modeled by two coupled forced Duffing equations, which are solved using finite difference method combined with arc-length continuation method. The obtained results of the mass mistuning are analyzed and discussed in depth. It is shown that the introduction of the nonlinearity and the functionalization of the energy localization phenomenon lead to the enlargement of the bandwidth and the increase of the vibration amplitudes.


2020 ◽  
Vol 10 (7) ◽  
pp. 2484 ◽  
Author(s):  
Marcin Kulik ◽  
Mariusz Jagieła ◽  
Marian Łukaniszyn

The coreless microgenerators implemented in electromagnetic vibration energy harvesting devices usually suffer from power deficiency. This can be noticeably improved by optimizing the distribution of separate turns within the armature winding. The purposeful optimization routine developed in this work is based on numerical identification of the turns that contribute most to the electromotive force and the elimination of those with the least contribution in order to reduce the internal impedance of the winding. The associated mixed integer nonlinear programming problem is solved comparatively using three approaches employing surrogate models based on kriging. The results show very good performance of the strategy based on a sequentially refined kriging in terms of the ability to accurately localize extremum and reduction of the algorithm execution time. As a result of optimization, the output power of the system increased by some 300 percent with respect to the initial configuration.


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