The use of locally resonant metamaterials to reduce flow-induced noise and vibration

Pires, Felipe Alves; Sangiuliano, Luca; Denayer, Hervé; Deckers, Elke; Desmet, Wim; Claeys, Claus

doi:10.1016/j.jsv.2022.117106

Cited by 12 publications

(3 citation statements)

References 52 publications

(84 reference statements)

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“…One characteristic unique property of PnCs and AMMs is that they exhibit bandgaps in certain frequency ranges, where the propagation of sound waves will be completely forbidden within the bandgap. Therefore, they can be directly applied for sound insulation [20][21][22] and noise filtering [23,24]. In contrast to acoustic filtering, it has been shown that acoustic sensing can be enhanced through anisotropic metamaterials [25,26], Mie resonant metamaterials [27,28], PnC cavity resonance structures [29,30] and near-zero density metamaterials [31,32].…”

Section: Introductionmentioning

confidence: 99%

Dual-band filtering and enhanced directional via tunable acoustic metamaterial antennas

Xiao,

Ding,

Pan

et al. 2024

Smart Mater. Struct.

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The detection of acoustic signals in strong background noise plays a crucial role in industrial non-destructive, mechanical equipment health monitoring and acoustic communication. The major bottleneck of this technology lies in the limited high-sensitivity and high-directivity of acoustic sensors. Here, this study proposes a tunable acoustic metamaterial antenna (TAMAA) with a double bandgap and near-zero refractive index. Different from the traditional geometric scatterer, a gear-shaped structure is introduced to enhance the controllability of the acoustic system. We theoretically demonstrate the physical properties of the structure with a double bandgap and near-zero refractive index. Remarkably, the gear-shaped honeycomb lattice structure exhibits an adjustable bandgap region, which enables the multiplexing of both acoustic shielding and acoustic enhancement functions by controlling the rotation angle of the scatterer. Furthermore, through numerical computational and experimental studies, we demonstrate that the proposed TAMAA exhibits dual-band filtering capabilities and provides excellent acoustic directional enhancement. Moreover, it allows for the recovery of weak acoustic signals even in the presence of extremely low signal-to-noise ratio (SNR) and strong spatial noise interference. This work breaks through the detection limits of conventional acoustic sensing systems and provides new ideas for the development of acoustic sensing detection.

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Section: Introductionmentioning

confidence: 99%

Dual-band filtering and enhanced directional via tunable acoustic metamaterial antennas

Xiao,

Ding,

Pan

et al. 2024

Smart Mater. Struct.

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“…In recent years, with the extensive research on artificial acoustic metamaterials, new approaches and methods have emerged to address the challenges of low-frequency vibration and noise control, which benefit from the unique properties of artificial acoustic metamaterials as opposed to natural materials [ 10 , 11 , 12 ]. Phononic crystals, as a significant branch of artificial composite periodic structures with distinct characteristics have demonstrated excellent control capabilities over mid-to-low-frequency elastic waves.…”

Section: Introductionmentioning

confidence: 99%

Topological Design of Two-Dimensional Phononic Crystals Based on Genetic Algorithm

et al. 2023

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Phononic crystals are a kind of artificial acoustic metamaterial whose mass density and elastic modulus are periodically arranged. The precise and efficient design of phononic crystals with specific bandgap characteristics has attracted increasing attention in past decades. In this paper, an improved adaptive genetic algorithm is proposed for the reverse customization of two-dimensional phononic crystals designed to maximize the relative bandwidth at low frequencies. The energy band dispersion relation and transmission loss of the optimal structure are calculated by the finite-element method, and the effective wave-attenuation effect in the bandgap range is verified. This provides a solution for the custom-made design of acoustic metamaterials with excellent low-frequency bandgap sound insulation or other engineering applications.

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“…The research of 3D-printed dynamic sensors is important since complex sensor shapes can be fabricated and embedded within structures already in the manufacturing stages [ 3 ]. Therefore, 3D-printed sensors make perfect candidates for applications such as structural health monitoring [ 4 ], vibration control [ 5 ], energy harvesting [ 6 , 7 ], metamaterials [ 8 , 9 ] and human health monitoring [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Single-Process 3D-Printed Piezoelectric Sensors with Resistive Electrodes: The Low-Pass Filtering Effect

Košir

Slavič

2022

Polymers

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Three-dimensional printing by material extrusion enables the production of fully functional dynamic piezoelectric sensors in a single process. Because the complete product is finished without additional processes or assembly steps, single-process manufacturing opens up new possibilities in the field of smart dynamic structures. However, due to material limitations, the 3D-printed piezoelectric sensors contain electrodes with significantly higher electrical resistance than classical piezoelectric sensors. The continuous distribution of the capacitance of the piezoelectric layer and the resistance of the electrodes results in low-pass filtering of the collected charge. Consequently, the usable frequency range of 3D-printed piezoelectric sensors is limited not only by the structural properties but also by the electrical properties. This research introduces an analytical model for determining the usable frequency range of a 3D-printed piezoelectric sensor with resistive electrodes. The model was used to determine the low-pass cutoff frequency and thus the usable frequency range of the 3D-printed piezoelectric sensor. The low-pass electrical cutoff frequency of the 3D-printed piezoelectric sensor was also experimentally investigated and good agreement was found with the analytical model. Based on this research, it is possible to design the electrical and dynamic characteristics of 3D-printed piezoelectric sensors. This research opens new possibilities for the design of future intelligent dynamic systems 3D printed in a single process.

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The use of locally resonant metamaterials to reduce flow-induced noise and vibration

Cited by 12 publications

References 52 publications

Dual-band filtering and enhanced directional via tunable acoustic metamaterial antennas

Dual-band filtering and enhanced directional via tunable acoustic metamaterial antennas

Topological Design of Two-Dimensional Phononic Crystals Based on Genetic Algorithm

Modeling of Single-Process 3D-Printed Piezoelectric Sensors with Resistive Electrodes: The Low-Pass Filtering Effect

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