Angular poling effect on cymbal piezoelectric structure using rhombohedral and tetragonal PMN-0.33PT for energy harvesting applications

Adhikari, Jitendra; Kumar, Rajeev; Jain, S. C.

doi:10.1007/s00339-022-05512-1

Cited by 5 publications

(5 citation statements)

References 51 publications

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“…Because of the widespread availability of ambient mechanical energy in the form of vibrations, motions, and noises, energy harvesting through piezoelectric materials has sparked considerable interest (Singh et al, 2021). However, the fragile nature of piezoceramic material prohibits its usage in various electronic devices (Adhikari et al, 2022). In this scenario, piezoelectric composites with improved performance based on graphene nano platelet reinforcement may be the best option.…”

Section: State Of Art Reviewmentioning

confidence: 99%

Electromechanical study of graphene reinforced lead-free functionally graded tile for vibration energy harvesting

Adhikari

Kumar

Narain³

et al. 2022

Journal of Intelligent Material Systems and Structures

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This study focuses on the electromechanical analysis of functionally graded graphene reinforced piezoelectric composite (FG-GRPC) structures in order to identify circuit metrics such as voltage and power. The graphene platelets (GPLs) scatter evenly and parallelly in each graphene platelets reinforced piezoelectric composite (GRPC) tile. The effective modulus of elasticity for the GRPC tile is calculated by the Halpin-Tsai (HT) parallel model. The rule of the mixture (ROM) is employed to estimate the effective mass density, poisson’s ratio, and piezoelectric properties of GRPC structure. A simple power law distribution is responsible for the spatial disparity in composition over the thickness to generate FG-GRPC structural tiles. The first-order shear deformation theory and Hamilton’s principle are used to derive the governing finite element equations for the FG-GRPC plates. The impact of external resistance, frequency, volume fraction, piezoelectric characteristics, and geometry of the tile on the circuit metrics of FG-GRPC structures are thoroughly examined. Our results reveal that the circuit metrics of FG-GRPC plates are significantly enhanced due to consideration of material grading exponent and a small quantity of GPLs. This article will provide the necessary physical insights for modeling the electromechanical coupling in multipurpose piezoelectric materials, devices, and large-scale systems, allowing them to be used in industrial applications such as pressure sensors, miniature ultrasonic motors, fuel injectors, active controllers, and robotic systems.

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Section: State Of Art Reviewmentioning

confidence: 99%

Electromechanical study of graphene reinforced lead-free functionally graded tile for vibration energy harvesting

Adhikari

Kumar

Narain³

et al. 2022

Journal of Intelligent Material Systems and Structures

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“…Our research suggests the usage of FG bridge structure that employs the synergistic use of material grading index and Pt to solve the problem of handling huge impact loads and low power output of piezoelectric materials. 4 Smart actuator systems, such as micro ultrasonic motors, precision positioners and adaptive mechanical dampers, might utilise FG bridge structures as mainstream materials. 26 It is also appropriate for usage in industrial applications like SONAR equipment, engine knock sensors, quick response solenoids, optical calibration in telescopes, pressure sensors, ultrasonic welding, diesel fuel injectors, ultrasonic imaging and robotic systems.…”

Section: Research Implicationsmentioning

confidence: 99%

“…Numerous prominent transduction mechanisms are used to achieve this goal, including electromagnetic induction, 1 triboelectric induction, 2 electrostatic conversion 3 and piezoelectric transduction. 4 Among them, piezoelectric devices have generated considerable attention due to their simplicity of fabrication in comparison to other methods, such as electromagnetic and electrostatic effects. 5 The most often employed piezoelectric harvesting configuration is the cantilever beam since it is ideal for collecting ambient excitations such as base excitations or wind-induced movement.…”

Section: Introductionmentioning

confidence: 99%

Influence of material grading and compositional platinum profile on the functionally graded piezoelectric bridge structure

Adhikari

Kumar

Jain

2022

Proceedings of the Institution of Mechanical Engineers, Part L:

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Bridge transducers are square or rectangular cymbals that have been proven to be a promising design for piezoelectric energy harvesting in the presence of high-impact loads. This study investigates the effect of compositionally graded platinum and material exponents on the performance metrics of a flex tensional bridge structure. A functionally graded piezoelectric material is created here by incorporating a compositionally graded Pb[ZrxTi1−x]O3/platinum material (Pb[ZrxTi1−x]O3/platinum) with a polymer of -(C2H2F2)n-. The multiphysics bridge structured model is solved using finite element analysis. The biokinetic energy is generated by footsteps with loads that are 1.5–3 times the body weight, and thus an impact load of 1500 N is considered in this study. The performance metrics in terms of voltage and power are scrutinised using the electromechanical model in order to attain maximum output at optimal settings. The optimal grading exponent values are determined by the platinum concentration as well as other functional factors. It is discovered that the power law-driven grading index improves bridge functionally graded piezoelectric material performance regardless of changes in other operating parameters. Although platinum impairs Pb[ZrxTi1−x]O3/platinum performance but synergising the composite material with the grading index enhances the performance metrics percentage of functionally graded piezoelectric material over the respective Pb[ZrxTi1−x]O3/platinum material. This research establishes the relevance of synergism on the electromechanical features and performance of bridge transducers, and is applicable to any bonded piezoelectric device, whether it is an energy harvester, actuator or sensor.

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“…Overall, piezoelectric energy harvesting technology has the potential to effectively capture human movement and greatly contribute to a sustainable future. [17] Piezoelectric sensors generate a tremendous quantity of data, making real-time data processing a significant challenge for piezoelectric tiles. To tackle this challenge, tools for statistical analysis are crucially needed.…”

Section: Introductionmentioning

confidence: 99%

“…Overall, piezoelectric energy harvesting technology has the potential to effectively capture human movement and greatly contribute to a sustainable future. [ 17 ]…”

Section: Introductionmentioning

confidence: 99%

Prediction of Piezoelectric Tile Performance in Flat and Mountainous Terrains Through Deep Neural Network

Adhikari,

Singh,

Sagar

et al. 2023

Advcd Theory and Sims

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Piezoelectric tiles harvest mechanical vibrations and convert them into electrical energy, making them an attractive energy‐harvesting technology. However, their performance is heavily influenced by the terrain where they are installed. Traditional experimental methods for predicting their performance on different terrains are time‐consuming, so a computational approach is necessary to improve efficiency. To address this, a machine learning‐based approach is proposed using Artificial Neural network (ANN) and Deep neural network (DNN) with the Tanh activation function to predict piezoelectric tile performance in diverse terrains. The models are trained on an experimental dataset consisting of four terrains, including Flat terrain (FT) and Hilly Terrain (HT) 1, 2, 3 with road angles of 0, 3, 6, and 10 degrees. A finite element model is also established to optimize the piezoelectric tile and estimate the suitable parameter range to prevent damage to the tile during experiments. The results indicate that the DNN model performs better than the ANN model, achieving high accuracy in predicting piezoelectric tile performance on different terrains. These findings suggest that machine learning can provide a time and cost‐effective way for predicting the performance of piezoelectric tiles in varied terrains, thereby facilitating betters installation and maintenance decisions for piezoelectric tile systems.

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Angular poling effect on cymbal piezoelectric structure using rhombohedral and tetragonal PMN-0.33PT for energy harvesting applications

Cited by 5 publications

References 51 publications

Electromechanical study of graphene reinforced lead-free functionally graded tile for vibration energy harvesting

Electromechanical study of graphene reinforced lead-free functionally graded tile for vibration energy harvesting

Influence of material grading and compositional platinum profile on the functionally graded piezoelectric bridge structure

Prediction of Piezoelectric Tile Performance in Flat and Mountainous Terrains Through Deep Neural Network

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