Sound absorption metasurface with symmetrical coiled spaces and micro slit of variable depth

Almeida, Gildean do N.; Vergara, Erasmo F.; Barbosa, Leandro Rodrigues; Lenzi, Arcanjo; Birch, R. S.

doi:10.1016/j.apacoust.2021.108312

Cited by 25 publications

(2 citation statements)

References 41 publications

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“…Integrating the coiled-up space into the perforated system also effectively lowers the working frequency [31,32]. Varying the number of chambers or the depth of the opening enables alteration of the absorption frequency range and its bandwidth [33,34]. Moreover, combing advantages of space-coiling structure and porous material can enhance absorption performance and extend absorption bandwidth [35].…”

Section: Introductionmentioning

confidence: 99%

Low-frequency acoustic metasurface containing series-type resonators with curled necks

Chen¹,

Kuo²,

Lo³

et al. 2022

Phys. Scr.

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This study presents a novel acoustic metasurface with a coplanar series-type Helmholtz resonator with curled necks. Using extended necks that are embedded in cavities enables one to significantly reduce the resonance frequency of the resonator. The sound absorption performance of this metasurface is investigated theoretically, numerically, and experimentally. The absorption band can be easily adjusted by altering the neck length and diameter. To achieve a wide frequency band with high absorption, two inhomogeneous units are arranged in parallel. Theoretical and finite-element predictions exhibit good agreement with the experimental measurements. The results demonstrate that the proposed acoustic metasurface with subwavelength thickness is capable of effectively absorbing low-frequency sound.

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Section: Introductionmentioning

confidence: 99%

Low-frequency acoustic metasurface containing series-type resonators with curled necks

Chen¹,

Kuo²,

Lo³

et al. 2022

Phys. Scr.

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show abstract

“…Basically, the uniqueness of metasurfaces rested with their ability of easily adjusting the phase and/or amplitude so as to fully control the wave fields. At present, acoustic metasurfaces with various profiles have been proposed for different functions and applications, including (but not limited to) Helmholtz-resonator-like Wang et al, 2016;Zhang et al, 2021), membrane-type (Ma et al, 2014;Tang et al, 2019;Liu et al, 2020), and coiling-up space (Xie et al, 2014;Liang and Li, 2012;N. Almeida et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Coiling-Up Space Metasurface for High-Efficient and Wide-angle Acoustic Wavefront Steering

et al. 2021

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The recent advent of acoustic metasurface displays tremendous potential with their unique and flexible capabilities of wavefront manipulations. In this paper, we propose an acoustic metagrating made of binary coiling-up space structures to coherently control the acoustic wavefront steering. The acoustic wave steering is based on the in-plane coherent modulation of waves in different diffraction channels. The acoustic metagrating structure with a subwavelength thickness is realized with 3D printed two coiling-up space metaunits. By adjusting structural parameters of the metaunits, the −1st-order diffraction mode can be retained, and the rest of the diffraction orders are eliminated as much as possible through destructive interference, forming a high-efficiency anomalous reflection in the scattering field. The anomalous reflection performance of the designed metagrating is achieved over a wide range of incident angles with high efficiency.

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A deep learning-based multi-fidelity optimization method for the design of acoustic metasurface

Feng

Cai

et al. 2022

Engineering with Computers

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Sound absorption metasurface with symmetrical coiled spaces and micro slit of variable depth

Cited by 25 publications

References 41 publications

Low-frequency acoustic metasurface containing series-type resonators with curled necks

Low-frequency acoustic metasurface containing series-type resonators with curled necks

Coiling-Up Space Metasurface for High-Efficient and Wide-angle Acoustic Wavefront Steering

A deep learning-based multi-fidelity optimization method for the design of acoustic metasurface

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