Energy harvesting from flexible piezoelectric ring

Kim, Yeunhee; Song, Kahye; Song, Jae Bok; Cha, Youngsu

doi:10.1088/1361-665x/ab29a8

Cited by 6 publications

(3 citation statements)

References 40 publications

(47 reference statements)

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“…Kim et al investigated a flexible ring energy harvester made of PVDF and PDMS and observed the effect of shape changes in the cylinder, and input parameters on the electrical response. It was found that with the variation in cylindrical geometry dimensions at a constant frequency, the output power level increases [15]. Chen et al developed a spiral-cantilever coupled structure with low resonance frequencies and a wider bandwidth to generate relative maximum power [16].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Novel Piezoelectric Cantilever Beam Structure for Energy Harvesting

Tyagi¹,

Gaur

Mahajan³

2022

Trends Sci

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This study proposes an elastic compact Piezoelectric energy harvester (PEH) in multiple configurations, including a single cantilever beam, a single cantilever beam with a hole, two cantilever beams with a hole contributing towards a wider operating bandwidth. The cantilever beams are designed in multiple structural forms and section shapes, including symmetrical uniform section rectangle frames. Natural frequencies, vibration modes, and output voltages of PEH are estimated using Finite element software, with the frame acting as a rigid body and the cantilever plate acting as a deformed structure. A PEH with a rectangular cantilever plate surrounded by a rigid frame is designed and attached to the vibration platform with a customized fixture in the simulation software. The design meets the requirements of natural frequency and high output voltage in the low-frequency band. The PEH structure is simulated using a variety of piezoelectric materials, primarily PZT4 and PZT5H, barium titanate, lithium niobate, zinc oxide, and polyvinylidene difluoride (PVDF) using the finite element method. In the structural configuration of two cantilever beams with holes, PEH exhibited the maximum output voltage of 32.832 V for Zinc oxide compared to other materials. So, it can be concluded that insertion of hole and variation in the geometry of cantilever structure along with frame plays a vital role in achieving a large voltage from the vibrations in PEH. HIGHLIGHTS The finite element approach was used to develop and simulate the cantilever-based piezoelectric energy harvesting structure Multiple elastic compact Piezoelectric energy harvester (PEH) designs, including a single cantilever plate, a single cantilever plate with a hole, and two cantilever plates with a hole, are simulated using different materials The frame, hole insertion, and geometry modification of the cantilever structure all play important roles in generating a substantial voltage from the vibrations in PEH This study presents an Eigen frequency analysis of different PEH structures GRAPHICAL ABSTRACT

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Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Novel Piezoelectric Cantilever Beam Structure for Energy Harvesting

Tyagi¹,

Gaur

Mahajan³

2022

Trends Sci

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“…Piezoelectric materials have received considerable attention in the field of sensing [ 1 , 2 , 3 ] and energy harvesting [ 4 , 5 , 6 ] because of their flexibility, fast response speeds, as well as the properties of generating internal electric potential from mechanical deformation [ 7 , 8 ]. In particular, the electromechanical effect of these materials makes it possible to detect physical stimuli without external power, so many researchers have studied various sensors, such as force and strain sensors, using this mechanism [ 9 , 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Multidirectional Cylindrical Piezoelectric Force Sensor: Design and Experimental Validation

Lee

Neubauer

Cha

2020

Sensors

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A common design concept of the piezoelectric force sensor, which is to assemble a bump structure from a flat or fine columnar piezoelectric structure or to use a specific type of electrode, is quite limited. In this paper, we propose a new design of cylindrical piezoelectric sensors that can detect multidirectional forces. The proposed sensor consists of four row and four column sensors. The design of the sensor was investigated by the finite element method. The response of the sensor to various force directions was observed, and it was demonstrated that the direction of the force applied to the sensor could be derived from the signals of one row sensor and three column sensors. As a result, this sensor proved to be able to detect forces in the area of 225° about the central axis of the sensor. In addition, a cylindrical sensor was fabricated to verify the proposed sensor and a series of experiments were performed. The simulation and experimental results were compared, and the actual sensor response tended to be similar to the simulation.

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“…In this study, we used only one actuator-sensor pair mounted on the fingertip of a robot gripper to classify several objects using a static approach in a single grasp. In particular, we selected polyvinylidene fluoride (PVDF) [32][33][34][35][36] as a piezoelectric material for the flexible actuator-sensor pair.…”

Section: Introductionmentioning

confidence: 99%

Object classification based on piezoelectric actuator-sensor pair on robot hand using neural network

Chung

Lim

Lim³

et al. 2020

Smart Mater. Struct.

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We propose a piezoelectric actuator-sensor pair applicable to object classification, which comprises two piezoelectric films on a polyethylene terephthalate substrate layer. One piezoelectric film is used as an actuator, and another as a sensor. The actuator-sensor pair is installed on a robot hand, and a neural network classifier is used to conduct object classification. Sensor data for learning process are acquired when the actuator is oscillating, while the robot hand grasps objects. Specifically, a sinusoidal input voltage with frequency sweep is supplied to the actuator, and the sensor outputs the signal transferred from the actuator simultaneously. The obtained data undergoes a series of preprocessing procedures to be used as data input for learning. Several neural network classifier models are trained with the preprocessed dataset, and the most suitable model is selected as our classifier. Our classifier successfully predicted the object data in the test set. Furthermore, we develop a real-time recognition system and demonstrate the feasibility of the actuator-sensor pair.

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Energy harvesting from flexible piezoelectric ring

Cited by 6 publications

References 40 publications

Performance Evaluation of Novel Piezoelectric Cantilever Beam Structure for Energy Harvesting

Performance Evaluation of Novel Piezoelectric Cantilever Beam Structure for Energy Harvesting

Multidirectional Cylindrical Piezoelectric Force Sensor: Design and Experimental Validation

Object classification based on piezoelectric actuator-sensor pair on robot hand using neural network

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