Moth wings as sound absorber metasurface.

acoustic metamaterial bioinspired metamaterials biological sound absorber deep-subwavelength

Journal

Proceedings. Mathematical, physical, and engineering sciences
ISSN: 1364-5021
Titre abrégé: Proc Math Phys Eng Sci
Pays: England
ID NLM: 9891746

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 26 01 2022
accepted: 17 05 2022
entrez: 27 6 2022
pubmed: 28 6 2022
medline: 28 6 2022
Statut: ppublish

Résumé

In noise control applications, a perfect metasurface absorber would have the desirable traits of not only mitigating unwanted sound, but also being much thinner than the wavelengths of interest. Such deep-subwavelength performance is difficult to achieve technologically, yet moth wings, as natural metamaterials, offer functionality as efficient sound absorbers through the action of the numerous resonant scales that decorate their wing membrane. Here, we quantify the potential for moth wings to act as a sound-absorbing metasurface coating for acoustically reflective substrates. Moth wings were found to be efficient sound absorbers, reducing reflection from an acoustically hard surface by up to 87% at the lowest frequency tested (20 kHz), despite a thickness to wavelength ratio of up to 1/50. Remarkably, after the removal of the scales from the dorsal surface the wing's orientation on the surface changed its absorptive performance: absorption remains high when the bald wing membrane faces the sound but breaks down almost completely in the reverse orientation. Numerical simulations confirm the strong influence of the air gap below the wing membrane but only when it is adorned with scales. The finding that moth wings act as deep-subwavelength sound-absorbing metasurfaces opens the door to bioinspired, high-performance sound mitigation solutions.

Identifiants

pubmed: 35756872
doi: 10.1098/rspa.2022.0046
pii: rspa20220046
pmc: PMC9199070
doi:

Banques de données

figshare
['10.6084/m9.figshare.c.6025744']

Types de publication

Journal Article

Langues

eng

Pagination

20220046

Informations de copyright

© 2022 The Author(s) Published by the Royal Society. All rights reserved.

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Auteurs

Thomas R Neil (TR)

School of Biological Sciences, University of Bristol, Bristol, UK.

Zhiyuan Shen (Z)

School of Biological Sciences, University of Bristol, Bristol, UK.

Daniel Robert (D)

School of Biological Sciences, University of Bristol, Bristol, UK.

Bruce W Drinkwater (BW)

Department of Mechanical Engineering, University of Bristol, Bristol, UK.

Marc W Holderied (MW)

School of Biological Sciences, University of Bristol, Bristol, UK.

Classifications MeSH