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Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

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Published on: June 28, 2024

Tunable network sound absorber based on additive manufacturing.

Tianyu Zhao¹, Yi Chen¹, Kai Zhang¹

¹School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China.

The Journal of the Acoustical Society of America

|August 3, 2021

Summary

This summary is machine-generated.

This study introduces a tunable low-frequency sound absorber using honeycomb plates and interchangeable chips. This novel design allows for programmable sound absorption, overcoming limitations of fixed-frequency absorbers.

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Area of Science:

Acoustics
Materials Science
Additive Manufacturing

Background:

Achieving broadband sound absorption at low frequencies is difficult due to acoustic wave penetrability.
Existing methods like coupled Fabry-Pérot channels are hard to miniaturize.
Previous tube network absorbers had fixed absorption frequencies.

Purpose of the Study:

To propose and fabricate a tunable low-frequency sound absorber.
To demonstrate the ability to alter absorption spectrums by modifying absorber components.
To develop a design methodology for targeted sound absorption.

Main Methods:

Additive manufacturing of a tunable sound absorber composed of honeycomb plates and detached chips.
Experimental validation of different sound absorption spectrums by replacing chips.
Development of a low reduced frequency model and genetic algorithm for chip design.
Theoretical investigation of tube radius effects and extension to 3D structures.

Main Results:

Successfully fabricated a tunable low-frequency sound absorber.
Demonstrated experimental validation of varied sound absorption spectrums through chip replacement.
Developed a computational approach for designing chips for specific absorption targets.
Investigated the influence of structural parameters on acoustic absorption.

Conclusions:

The proposed tunable network sound absorber offers remarkable efficiency and versatility.
This adaptable design facilitates programmed absorbing material development.
The study presents a significant advancement in tunable acoustic metamaterials.