Design and optimization of bimorph energy harvester based on Taguchi and ANOVA approaches

Alsaadi, Naif; Sheeraz, Muhammad

doi:10.1016/j.aej.2019.12.016

Cited by 25 publications

(11 citation statements)

References 29 publications

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“…Bimorphs can have passive layers in between two active layers. Unimorphs and bimorphs have proven to be the most promising method for microscale energy harvesting [122][123][124][125][126][127]. The use of unimorph and bimorph energy harvesters is also a developing part of vibrational-based energy harvesting.…”

Section: Vibration Sourcesmentioning

confidence: 99%

See 1 more Smart Citation

Metamaterials for Acoustic Noise Filtering and Energy Harvesting

Mir

Mandal

Banerjee

2023

Sensors

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Artificial methods for noise filtering are required for the twenty-first century’s Factory vision 4.0. From various perspectives of physics, noise filtering capabilities could be addressed in multiple ways. In this article, the physics of noise control is first dissected into active and passive control mechanisms and then further different physics are categorized to visualize their respective physics, mechanism, and target of their respective applications. Beyond traditional passive approaches, the comparatively modern concept for sound isolation and acoustic noise filtering is based on artificial metamaterials. These new materials demonstrate unique interaction with acoustic wave propagation exploiting different physics, which is emphasized in this article. A few multi-functional metamaterials were reported to harvest energy while filtering the ambient noise simultaneously. It was found to be extremely useful for next-generation noise applications where simultaneously, green energy could be generated from the energy which is otherwise lost. In this article, both these concepts are brought under one umbrella to evaluate the applicability of the respective methods. An attempt has been made to create groundbreaking transformative and collaborative possibilities. Controlling of acoustic sources and active damping mechanisms are reported under an active mechanism. Whereas Helmholtz resonator, sound absorbing, spring-mass damping, and vibration absorbing approaches together with metamaterial approaches are reported under a passive mechanism. The possible application of metamaterials with ventilation while performing noise filtering is reported to be implemented for future Smart Cities.

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Section: Vibration Sourcesmentioning

confidence: 99%

Section: Vibration Sourcesmentioning

confidence: 99%

Metamaterials for Acoustic Noise Filtering and Energy Harvesting

Mir

Mandal

Banerjee

2023

Sensors

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“…Vibration-based piezoelectric energy harvester is a potential candidate to replace existing power sources such as the batteries which have a limited energy storage capacity and lifetime for some applications 5 . Based on Taguchi orthogonal method, the variation in the excitation frequency, the thickness of piezoelectric layers and the acceleration of the bimorph piezoelectric energy harvester (PEH) were optimized by maximum output peak voltage (U p-max ) and signal-to-noise ratio as the optimization objectives 6 , and the ultimate goal is that one could obtain the U p-max with lesser trials 7 . Most of PEHs with the different beam shapes, such as the rectangles [8][9][10][11] and triangles 12,13 have been focused on the energy harvesting characteristics from bending vibration, and the main problem is the significant dropping of output power when the excitation frequency slightly away from the natural frequency of the harvesters.…”

Section: And Xuejun Zheng 1*mentioning

confidence: 99%

Piezoelectric energy harvester with double cantilever beam undergoing coupled bending-torsion vibrations by width-splitting method

Song

Sun

Zeng

et al. 2022

Sci Rep

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We propose piezoelectric energy harvester (PEH) with double-cantilever-beam (DCB) undergoing coupled bending-torsion vibrations by combining width-splitting method and asymmetric mass, in order that more ambient energy could be harvested from environmental vibration with multiple-frequency excitation. The geometrical dimensions are optimized for PEHDCB, when the maximum of output peak voltages Up-max and resonance frequency difference (Δf0) between the first and second modes are chosen as optimization objectives based on orthogonal test method. The energy harvesting efficiency is evaluated by the proportion of half-power bandwidth and quality factor, and the experimental and simulation results are compared to verify reliability. The Up-max1 and Pp-max1 are increased 25.2% and 57.3% for PEHDCB under the multi-frequency excitation, when the split-width method is applied into PEH with single-cantilever-beam (SCB) undergoing coupled bending-torsion vibrations. The deviations of Up-max1 and f0 are at the ranges of 4.9–14.2% and 2.2–2.5% for PEHDCB under the different mass ratios, and the measurement reliability is acceptable considering incomplete clamping, damping and inevitable assembly effects. The energy harvesting efficiency of PEHDCB presented is much higher than that of the conventional PEHSCB from environmental vibration with multiple-frequency excitation.

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“…However, in the majority of cases, mechanical damping and how it affects the output is not considered and studied. Many researchers simulated the piezoelectric energy harvester model using COMSOL Multiphysics, which explored various parameters, such as excitation frequency, acceleration, thickness of piezoelectric layers, gaps, etc., to improve the output power [30][31][32][33]. In a way, it is possible to improve the simulation results.…”

Section: Introductionmentioning

confidence: 99%

Research of PVDF Energy Harvester Cantilever Parameters for Experimental Model Realization

et al. 2020

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Piezoelectric energy harvesters have been extensively researched for use with wireless sensors or low power consumption electronic devices. Most of the piezoelectric energy harvesters cannot generate enough power for potential applications. In this study, we explore the parameters, including gap and proof mass, that can affect the damping of the cantilever to optimize the design of the energy harvester. A finite analysis is conducted using COMSOL Multiphysics software. Usually, this type of simulation is performed using the loss factor. However, it is known that results from the loss factor produce models that do not fit the experimental data well. In fact, the result of output voltage using the loss factor is 50% higher than the real value, which is due to ignoring the adverse effect of a superimposing mechanical damping of different constituent materials. In order to build a true model, Rayleigh damping coefficients are measured to use in a simulation. This resulted in a closer fit of modeling and experimental data, and a 5 times better output voltage from the optimized energy harvester compared with using the smallest gap and mass.

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Design and optimization of bimorph energy harvester based on Taguchi and ANOVA approaches

Cited by 25 publications

References 29 publications

Metamaterials for Acoustic Noise Filtering and Energy Harvesting

Metamaterials for Acoustic Noise Filtering and Energy Harvesting

Piezoelectric energy harvester with double cantilever beam undergoing coupled bending-torsion vibrations by width-splitting method

Research of PVDF Energy Harvester Cantilever Parameters for Experimental Model Realization

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