Piezoelectric Plates Distribution for Active Control of Torsional Vibrations

Botta, Fabio; Toccaceli, Federico

doi:10.3390/act7020023

Cited by 11 publications

(11 citation statements)

References 33 publications

(40 reference statements)

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“…Another numerical method using a representative volume element (RVE) was presented by Medeiros et al [ 12 ] for evaluating the effective properties of smart piezoelectric composite materials. Furthermore, finite element analysis was used in [ 13 ] to model a cantilever beam embedded with piezoelectric plates. This study focused on finding the optimal distribution of the piezoelectric plates to control the torsional vibrations.…”

Section: Introductionmentioning

confidence: 99%

Low-Computational-Cost Technique for Modeling Macro Fiber Composite Piezoelectric Actuators Using Finite Element Method

et al. 2021

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The large number of interdigitated electrodes (IDEs) in a macro fiber composite (MFC) piezoelectric actuator dictates using a very fine finite element (FE) mesh that requires extremely large computational costs, especially with a large number of actuators. The situation becomes infeasible if repeated finite element simulations are required, as in control tasks. In this paper, an efficient technique is proposed for modeling MFC using a finite element method. The proposed technique replaces the MFC actuator with an equivalent simple monolithic piezoceramic actuator using two electrodes only, which dramatically reduces the computational costs. The proposed technique was proven theoretically since it generates the same electric field, strain, and displacement as the physical MFC. Then, it was validated with the detailed FE model using the actual number of IDEs, as well as with experimental tests using triaxial rosette strain gauges. The computational costs for the simplified model compared with the detailed model were dramatically reduced by about 74% for memory usage, 99% for result file size, and 98.6% for computational time. Furthermore, the experimental results successfully verified the proposed technique with good consistency. To show the effectiveness of the proposed technique, it was used to simulate a morphing wing covered almost entirely by MFCs with low computational cost.

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Section: Introductionmentioning

confidence: 99%

Low-Computational-Cost Technique for Modeling Macro Fiber Composite Piezoelectric Actuators Using Finite Element Method

et al. 2021

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“…The negative effects of vibration in machine tools, civil infrastructures, automotive, and aerospace are huge and enormous. For instance, in the machine tool industry, mechanical vibration reduces both production rate and end-product quality, and shortens the service life of machine components, as assessed by [1,2]. Various traditional methods, such as passive insulators and dampers, have been used to dampen mechanical vibrations in various fields of engineering [3].…”

Section: Introductionmentioning

confidence: 99%

“…According to [5], one of the determinants of the feasibility and reliability of active vibration control is the dynamics of the actuator (piezoelectric actuator in this article) that dampen the unwanted vibration on the mechanical body with the help of commands from the controller. In turn, the performance of any piezoelectric actuator depends primarily on the quality of the actuator material [2] and its design approach [6], i.e., single-layer or multi-layer actuators, stacks, benders, or amplified actuators.…”

Section: Introductionmentioning

confidence: 99%

Multiphysics Modeling and Material Selection Methods to Develop Optimal Piezoelectric Plate Actuators for Active Noise Cancellation

2021

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The performance of a piezoelectric actuator for active noise cancellation depends primarily on the quality of the actuator material and its design approach, i.e., single-layer or multi-layer actuators, stacks, benders, or amplified actuators. In this paper, material selection and multiphysics modeling were performed to develop an optimal piezoelectric plate actuator for active noise cancellation. The material selection process was analyzed using two multi-criteria decision making (MCDM) approaches for material selection, i.e., figure of merit (FOM) for actuators and the technique for order of performance by similarity to ideal solution (TOPSIS). Of the 12 state-of-the-art piezoelectric actuator materials considered in this article, PMN–28% PT is the best material according to TOPSIS analysis, while (PIN24%-PMN-PT) is the best material according to FOM analysis. The ranking of state-of-the-art piezoelectric material categories for actuators according to the two analysis is consistent and the category of monocrystalline piezoelectric materials has the highest actuation performance. The multiphysics modeling was performed using ANSYS Mechanical using two different approaches: one using Ansys Parametric Design Language (APDL) command fragments, the other installing the PiezoAndMEMS ACT extension in ANSYS. Static structure, modal, and harmonic response analyses were performed to determine an optimal pair of piezoelectric plates to be used as an actuator for active noise cancellation. A pair of plates of the same materials, but of different dimensions turns out to be the optimal piezoelectric plate actuator for active noise reduction, according to the two multiphysics modeling methods.

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“…However the advent of smart materials in the last decades has greatly increased the possibilities of development of new smart structures [47][48][49] with the ability, not possible for the traditional systems, to adapt to external conditions variations. Because of their speed of response, low power consumption and high operating bandwidth the piezoelectric materials are, among the smart materials, the most promising ones for active vibration control [50][51][52][53] and MEMS applications [54]. However the research in the latter field mainly focuses on the energy harvesting [55][56][57][58] or MEMS tweezers for manipulating micro-objects and microassembly [59][60][61].…”

Section: Introductionmentioning

confidence: 99%

A Feasibility Study of a Novel Piezo MEMS Tweezer for Soft Materials Characterization

2019

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The opportunity to know the status of a soft tissue (ST) in situ can be very useful for microsurgery or early diagnosis. Since normal and diseased tissues have different mechanical characteristics, many systems have been developed to carry out such measurements locally. Among them, MEMS tweezers are very relevant for their efficiency and relative simplicity compared to the other systems. In this paper a novel piezoelectric MEMS tweezer for soft materials analysis and characterization is presented. A theoretical approach has developed in order to carry out the values of the stiffness, the equivalent Young’s modulus, and the viscous damping coefficients of the analyzed samples. The method has been validated by using both Finite Element Analysis and data from the literature.

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Piezoelectric Plates Distribution for Active Control of Torsional Vibrations

Cited by 11 publications

References 33 publications

Low-Computational-Cost Technique for Modeling Macro Fiber Composite Piezoelectric Actuators Using Finite Element Method

Low-Computational-Cost Technique for Modeling Macro Fiber Composite Piezoelectric Actuators Using Finite Element Method

Multiphysics Modeling and Material Selection Methods to Develop Optimal Piezoelectric Plate Actuators for Active Noise Cancellation

A Feasibility Study of a Novel Piezo MEMS Tweezer for Soft Materials Characterization

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