Semantic Scholar Open Access 2023 119 sitasi

3D‐Printed Lattice Structures for Sound Absorption: Current Progress, Mechanisms and Models, Structural‐Property Relationships, and Future Outlook

Xinwei Li Jun Wei Chua Xiang Yu Zhendong Li Miao Zhao +2 lainnya

Abstrak

The reduction of noises, achieved through absorption, is of paramount importance to the well‐being of both humans and machines. Lattice structures, defined as architectured porous solids arranged in repeating patterns, are emerging as advanced sound‐absorbing materials. Their immense design freedom allows for customizable pore morphology and interconnectivity, enabling the design of specific absorption properties. Thus far, the sound absorption performance of various types of lattice structures are studied and they demonstrated favorable properties compared to conventional materials. Herein, this review gives a thorough overview on the current research status, and characterizations for lattice structures in terms of acoustics is proposed. Till date, there are four main sound absorption mechanisms associated with lattice structures. Despite their complexity, lattice structures can be accurately modelled using acoustical impedance models that focus on critical acoustical geometries. Four defining features: morphology, relative density, cell size, and number of cells, have significant influences on the acoustical geometries and hence sound wave dissipation within the lattice. Drawing upon their structural‐property relationships, a classification of lattice structures into three distinct types in terms of acoustics is proposed. It is proposed that future attentions can be placed on new design concepts, advanced materials selections, and multifunctionalities.

Topik & Kata Kunci

Penulis (7)

X

Xinwei Li

J

Jun Wei Chua

X

Xiang Yu

Z

Zhendong Li

M

Miao Zhao

Z

Zhonggang Wang

W

Wei Zhai

Format Sitasi

Li, X., Chua, J.W., Yu, X., Li, Z., Zhao, M., Wang, Z. et al. (2023). 3D‐Printed Lattice Structures for Sound Absorption: Current Progress, Mechanisms and Models, Structural‐Property Relationships, and Future Outlook. https://doi.org/10.1002/advs.202305232

Akses Cepat

Lihat di Sumber doi.org/10.1002/advs.202305232
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
119×
Sumber Database
Semantic Scholar
DOI
10.1002/advs.202305232
Akses
Open Access ✓