Design and Optimization of Piezoelectric MEMS Vibration Energy Harvesters Based on Genetic Algorithm

Nabavi, Seyedfakhreddin; Zhang, Lihong

doi:10.1109/jsen.2017.2756921

Cited by 57 publications

(23 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compared with other studies [9,16], we found that the proposed GA was able to achieve optimization for two objectives: stroke difference and arm difference. Inspired by previous studies [15], the proposed GA gives a specific value of weighting factor λ 1 and λ 2 , which has disadvantages in balancing the two objectives to make the best effect.…”

Section: Discussionmentioning

confidence: 62%

“…Starting with the grouping implies the characteristics of parallel search and global random search, which greatly reduces the possibility of getting an optimal solution. Seyedfakhreddin Nabavi [9] proposed a GA-based design and optimization method for micro-electromechanical systems (MEMS) unimorph piezoelectric energy harvesters, and the GA-based optimization methodology he proposed demonstrated an enhancement of energy harvesting efficiency by 31% in comparison with un-optimized harvesters. This research demonstrated the optimization of micro-electromechanical systems, but only one objective was taken into consideration.…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies have seldom used GA (an evolutionary computation method for optimization problems by mimicking biological evolution [9]) for the design optimization of AORV steering mechanisms. In this paper, a GA is applied to the optimization of the steering mechanism.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design Optimization of Steering Mechanisms for Articulated Off-Road Vehicles Based on Genetic Algorithms

Zhou

Liu

2018

Algorithms

View full text Add to dashboard Cite

Two cylinders arranged symmetrically on a frame have become a major form of steering mechanism for articulated off-road vehicles (AORVs). However, the differences of stroke and arm lead to pressure fluctuation, vibration noise, and a waste of torque. In this paper, the differences of stroke and arm are reduced based on a genetic algorithm (GA). First, the mathematical model of the steering mechanism is put forward. Then, the difference of stroke and arm are optimized using a GA. Finally, a FW50GLwheel loader is used as an example to demonstrate the proposed GA-based optimization method, and its effectiveness is verified by means of automatic dynamic analysis of mechanical systems (ADAMS). The stroke difference of the steering hydraulic cylinders was reduced by 92% and the arm difference reached a decrease of 78% through GA optimization, in comparison with unoptimized structures. The simulation result shows that the steering mechanism optimized by GA behaved better than by previous methods.

show abstract

Section: Discussionmentioning

confidence: 62%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design Optimization of Steering Mechanisms for Articulated Off-Road Vehicles Based on Genetic Algorithms

Zhou

Liu

2018

Algorithms

View full text Add to dashboard Cite

show abstract

“…To improve the performance out of the un-optimized devices, our AI-based optimization method was executed with the population size of 20 and the generation number of 50 for the GA setup. Further information regarding the selection of these two user-defined factors can be found in [10]. The obtained results for the un-optimized (unopt) and optimized (opt) MEMS energy harvesters are listed in Table 1.…”

Section: Resultsmentioning

confidence: 99%

Design and Optimization of a Low-Resonant-Frequency Piezoelectric MEMS Energy Harvester Based on Artificial Intelligence

Nabavi

Zhang

2018

Eurosensors 2018

Self Cite

View full text Add to dashboard Cite

In this study we propose a piezoelectric MEMS vibration energy harvester with the capability of oscillating at low (i.e., less than 200 Hz) resonant frequency. The mechanical structure of the proposed harvester is comprised of a doubly clamped cantilever with a serpentine pattern associated with several discrete masses. In order to obtain the optimal physical aspects of the harvester and speed up the design process, we have utilized a deep neural network, as an artificial intelligence (AI) method. Firstly, the deep neural network was trained with 108 data samples gained from finite element modeling (FEM). Then this trained network was integrated with the genetic algorithm (GA) to optimize geometry of the harvester to enhance its performance in terms of resonant frequency and generated voltage. Our numerical results confirm that the accuracy of the network in prediction is above 90%. Consequently, by taking advantage of this efficient AI-based performance estimator, the GA is able to reduce the device operational frequency from 169 Hz to 110.5 Hz and increase its efficiency on harvested voltage from 2.5 V to 3.4 V under 0.25 g excitation.

show abstract

“…In this paper, a valveless micropump with a double PZT layer actuator is developed to pump blood sample. In general, being applied a voltage, a piezoelectric (PZT) layer bends inwards into the micropump [8]. This action pushes the fluid out of the chamber through the outlet valve.…”

Section: Introductionmentioning

confidence: 99%

Vibration Analysis Of A Double Circular Pzt Actuator For A Valveless Micropump

Parsi¹,

Zhang²,

Mašek³

2018

Progress in Canadian Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

In the conventional mechanical micropumps, the motion from one component (such as gear or diaphragm) produces pressure difference, which is needed to move fluid. In this paper, we propose a new method to use double PZT layers as an actuator for a valveless micropump, which is designed for pumping blood. Due to the high surface tension of blood, one PZT actuator is not strong enough to produce sufficient displacement. So instead of one PZT layer, a double-PZT layer is utilized to produce movement force. In this research, the analytic equations of a double circular PZT layer are derived to express the natural frequency of the system. The finite element method (FEM) simulation is utilized to verify the analytic equations. Then the required input voltage is applied to maximize the functionality of the system, whose simulation results are compared with the experimental measurement setup. Finally, a typical valveless micropump with the proposed double PZT layer is simulated by using COMSOL Multiphysics software. The flow rate of this configuration is compared with a single PZT actuator to demonstrate the effect of the proposed double-PZT actuator on the application to the valveless micropumps.

show abstract

Design and Optimization of Piezoelectric MEMS Vibration Energy Harvesters Based on Genetic Algorithm

Cited by 57 publications

References 33 publications

Design Optimization of Steering Mechanisms for Articulated Off-Road Vehicles Based on Genetic Algorithms

Design Optimization of Steering Mechanisms for Articulated Off-Road Vehicles Based on Genetic Algorithms

Design and Optimization of a Low-Resonant-Frequency Piezoelectric MEMS Energy Harvester Based on Artificial Intelligence

Vibration Analysis Of A Double Circular Pzt Actuator For A Valveless Micropump

Contact Info

Product

Resources

About