Issue 8, 2023

Harnessing cavity dissipation for enhanced sound absorption in Helmholtz resonance metamaterials

Abstract

Helmholtz resonance, based on resonance through a pore-and-cavity structure, constitutes the primary sound absorption mechanism in majority of sound-absorbing metamaterials. Typically, enhancing sound absorption in such absorbers necessitates substantial geometrical redesign or the addition of dissipative materials, which is non-ideal considering the volume and mass constraints. Herein, we introduce a new approach – that is to simply reshape the cavity, without alterations to its overall mass and volume – to drastically enhance sound absorption. This is achieved by bringing the cavity walls close to the pores where additional thermoviscous dissipation along these boundaries can occur. Experimentally validated, with three sides of the cuboid cavity close to the pore and at a particular pore–cavity geometry, a 44% gain in maximum absorption is achieved compared to the original structure. Through numerical simulations, we fully elucidate structure–property relationships and their mechanisms, and propose analytical models for design and optimization. Ultimately, utilizing this concept, we demonstrate a heterogeneously porous broadband (1500 to 6000 Hz) absorber that exhibits an excellent average absorption coefficient of 0.74 at a very low thickness of 18 mm. Overall, we introduce a new and universal concept that could revolutionize the design principles of Helmholtz resonators, and demonstrate its potential for designing advanced sound-absorbing metamaterials.

Graphical abstract: Harnessing cavity dissipation for enhanced sound absorption in Helmholtz resonance metamaterials

Supplementary files

Article information

Article type
Communication
Submitted
20 Mac 2023
Accepted
03 Mei 2023
First published
04 Mei 2023
This article is Open Access
Creative Commons BY-NC license

Mater. Horiz., 2023,10, 2892-2903

Harnessing cavity dissipation for enhanced sound absorption in Helmholtz resonance metamaterials

X. Li, X. Yu, J. W. Chua and W. Zhai, Mater. Horiz., 2023, 10, 2892 DOI: 10.1039/D3MH00428G

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