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Sound absorption performance based on auxetic microstructure model: A parametric study

delete2023-08-01
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OA
AI
王源隆 (Yuanlong Wang) *
C
Chaoliang Li
X
Xiongjie Chen
C
Chenlong Zhang
Q
Qi Jin
G
Guan Zhou
王春燕 (Chunyan Wang)
W
Wanzhong Zhao
DOI:10.1016/j.matdes.2023.112130delete
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摘要

摘要

En 中文
With the increasing prominence and complexity of environmental noise problems, there is an urgent need for novel acoustic materials to meet noise reduction requirements. In this paper, two auxetic microstructures and three typical lattice microstructures are established, and a microscopicmacroscopic acoustic performance study scheme is established through the Johnson-Champoux-AllardPride-Lafarge (JCAPL) model. Auxetic-BCC porous materials have lower acoustic resistance and reactance amplitudes than many typical porous materials through experimental verification and comparative analysis of numerical calculations. The porous material's thickness and the backing cavity's thickness have similar effects on sound absorption performance when controlling a single change in structural parameters, and there is an optimum thickness. As acoustic resistance and reactance are dominant at low and high frequencies, respectively, noise reduction is better at low (high) frequencies than at minor (large) porosity, and the porosity of 76.4%-82.0% has the best sound absorption effect. Changes in prism length of materials with high porosity are more sensitive than those with low porosity, so the prism length with porosity of 76.4%, 79.0%, and 82.6% shall be designed to be less than 1.1 mm, 0.9 mm, 0.8 mm, respectively. This study provides theoretical guidance for designing multifunctional porous materials in extreme environments. & COPY; 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keyword:
Sound absorption coefficient
Parameter calculation
Auxetic microstructure
Finite element analysis
Acoustic performance
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M
Materials and Design
IF:
7.9
论文数:
1.9W
被引数:
9.8W

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