Broadband sound absorption at low frequencies is always a challenge owing to the strong penetrability of acoustic waves. Combining detuned components, such as coupling curled Fabry–Pérot channels, has been proposed for broadband sound absorption. However, the components of the structure are generally arranged in parallel, so that it is difficult to assemble channels with gradient lengths into a compact and thin absorber. Tube networks, which can be seen as broadband and low-frequency sound absorbers, can circumvent this problem. However, the network absorber can only work at fixed frequencies once fabricated. Here, we propose a tunable low-frequency sound absorber consisting of honeycomb plates and detached chips and fabricate it by additive manufacturing. By replacing chips of the sound absorber, we experimentally validate different sound absorption spectrums. A low reduced frequency model and genetic algorithm are developed to design the chips according to targeted absorption spectrums. Moreover, we theoretically study the impact of radius of tube on sound absorption and extend the two-dimensional network to a three-dimensional structure. The remarkable efficiency and versatility of the tunable network sound absorber may pave the way for programmed absorbing material design.
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July 2021
July 07 2021
Tunable network sound absorber based on additive manufacturinga)
Special Collection:
Additive Manufacturing and Acoustics
Tianyu Zhao;
Tianyu Zhao
School of Aerospace Engineering, Beijing Institute of Technology
, Beijing 100081, China
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Yi Chen;
Yi Chen
School of Aerospace Engineering, Beijing Institute of Technology
, Beijing 100081, China
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Kai Zhang;
Kai Zhang
b)
School of Aerospace Engineering, Beijing Institute of Technology
, Beijing 100081, China
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Gengkai Hu
Gengkai Hu
c)
School of Aerospace Engineering, Beijing Institute of Technology
, Beijing 100081, China
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b)
Electronic mail: zhangkai@bit.edu.cn
c)
Electronic mail: hugeng@bit.edu.cn
a)
This paper is part of a special issue on Additive Manufacturing and Acoustics.
J. Acoust. Soc. Am. 150, 94–101 (2021)
Article history
Received:
March 21 2021
Accepted:
June 10 2021
Citation
Tianyu Zhao, Yi Chen, Kai Zhang, Gengkai Hu; Tunable network sound absorber based on additive manufacturing. J. Acoust. Soc. Am. 1 July 2021; 150 (1): 94–101. https://doi.org/10.1121/10.0005507
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