Comparison of flexoelectric and piezoelectric ring energy harvester

Zhang, X.F.; Hu, Kai-Ming; Li, H.

doi:10.1177/0954406218806018

Cited by 10 publications

(3 citation statements)

References 18 publications

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“…Distributed flexoelectric sensing signal of the double-curvature shell was derived and sensing experiments were conducted to validate the theory, which can be simplified to non-shell and shell structures [1]. In addition, sensing signals of non-shell and shell structures, such as beams, circular rings, and cylindrical shells, have been initially evaluated [2], [3], [4], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Flexoelectric and Piezoelectric Distributed Sensing Signal of Toroidal Shell

Zhang,

Wang,

2023

IEEE Access

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In this study, the flexoelectric and piezoelectric distributed sensing signal of the toroidal shell is discussed. By considering the curvature radii and Lamé parameters of the toroidal shell, dynamic strains are derived based on the double-curvature shell. Flexoelectric and piezoelectric distributed sensing models of the toroidal shell are established. Based on the direct flexoelectric effect and direct piezoelectric effect, the flexoelectric/piezoelectric distributed sensing signal is evaluated respectively. The local neural sensing signal is discussed while the flexoelectric and piezoelectric sensor patches approach to infinitesimal. The neural sensing signal is made of different signal components, and the components effects are discussed to elaborate the difference between the flexoelectric and piezoelectric sensing signal. The results indicate that the membrane-induced signal components and bending-induced signal components both affect the piezoelectric sensing signal, while only the bending-induced signal components affect the flexoelectric sensing signal. To elaborate the significance of the components in different directions, signal induced by different strains in different directions are discussed. The signal induced by the meridional bending strain dominates for the flexoelectric sensing while signal induced by the meridional membrane strain is dominant for piezoelectric sensing.

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Section: Introductionmentioning

confidence: 99%

Comparison of Flexoelectric and Piezoelectric Distributed Sensing Signal of Toroidal Shell

Zhang,

Wang,

2023

IEEE Access

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“…Nowadays, based on piezoelectric materials, many available energy sources can be converted into electricity, including wind energy, [ 20–22 ] water impact, [ 23–26 ] mechanical vibrations, [ 27–30 ] rotary motion, [ 31–33 ] and transportation facilities. [ 34–37 ] Among these energy sources, wind energy is relatively abundant and almost ubiquitous, and it is relatively easy to harvest.…”

Section: Introductionmentioning

confidence: 99%

Experiments and Analysis of a Nonlinear Sickle‐Shaped Cantilever Beam Piezoelectric Energy Harvester for Wind Energy Harvesting

Wang

et al. 2022

Physica Status Solidi (a)

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Achieving broadband energy harvesting at low frequencies is a difficult area of research today. To solve the aforementioned problems, herein, a nonlinear sickle‐shaped cantilever beam piezoelectric energy harvester (S‐PEH) for wind energy harvesting is proposed. It has a high‐voltage output in the wind speed range of 5.37–18.23 m s−1. The S‐PEH is consists of a collector and a transducer. The collector converts wind energy into rotating mechanical energy and excites the transducer by means of magnetic coupling, thus realizing the conversion of mechanical energy to electrical energy. The special structure of the transducer's sickle‐shaped cantilever beam type can effectively harvest wind energy in low‐frequency environment and broaden the range of harvesting wind speed in high voltage. The structure and principle of S‐PEH are analyzed by theory and simulation and are experimentally verified. The results show that when the magnet on the rotor is 15 mm away from the magnet of the piezoelectric sheet, the transducer angle is 90°, the load resistance is 100 kΩ, the voltage of the blower is kept at 120 V, and the system has a maximum power of 563 μW. Moreover, it can successfully make low‐power electronics work.

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“…Qi et al [12] numerically investigated a curved flexoelectric microbeam for direct and converse flexoelectric effect. Several other studies [13][14][15][16][17][18][19][20][21] have been reported using special geometry as a source of nonuniform deformation field to induce flexoelectricity. Another way extensively exploited for attaining the prerequisite of flexoelectricity, i.e.…”

Section: Introductionmentioning

confidence: 99%

Universal converse flexoelectricity in dielectric materials via varying electric field direction

Sharma

Kumar

Vaish

2021

International Journal of Smart and Nano Materials

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Flexoelectricity is a symmetry independent electromechanical coupling phenomenon that outperforms piezoelectricity at micro and nanoscales due to its size-dependent behavior arising from gradient terms in its constitutive relations. However, due to this gradient term flexoelectricity, to exhibit itself, requires specially designed geometry or material composition of the dielectric material. First of its kind, the present study put forward a novel strategy of achieving electric field gradient and thereby converse flexoelectricity, independent of geometry and material composition of the material. The spatial variation of the electric field is established inside the dielectric material, Ba 0.67 Sr 0.33 TiO 3 (BST), by manipulating electrical boundary conditions. Three unique patterns of electrode placement are suggested to achieve this spatial variation. This varying direction of electric field gives rise to electric field gradient, the prerequisite of converse flexoelectricity. A multi-physics coupling based theoretical framework is established to solve the flexoelectric actuation by employing isogeometric analysis (IGA). Electromechanically coupled equations of flexoelectricity are solved to obtain the electric field distribution and the resulting displacements thereby. The maximum displacements of 0.2 nm and 2.36 nm are obtained with patterns I and II, respectively, while pattern III can yield up to 85 nm of maximum displacement.

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Comparison of flexoelectric and piezoelectric ring energy harvester

Cited by 10 publications

References 18 publications

Comparison of Flexoelectric and Piezoelectric Distributed Sensing Signal of Toroidal Shell

Comparison of Flexoelectric and Piezoelectric Distributed Sensing Signal of Toroidal Shell

Experiments and Analysis of a Nonlinear Sickle‐Shaped Cantilever Beam Piezoelectric Energy Harvester for Wind Energy Harvesting

Universal converse flexoelectricity in dielectric materials via varying electric field direction

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