ArticleMaterials (Basel, Switzerland)2022
Development and Optimization of Broadband Acoustic Metamaterial Absorber Based on Parallel-Connection Square Helmholtz Resonators.
Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A Hybrid Metamaterial for Broadband, High-Performance Sound Absorption via Helmholtz Resonators Incorporating Porous Media.Materials (Basel, Switzerland) · 2026Article
- Hybrid Helmholtz-Helical Metamaterial for Broadband-Targeted Suppression of Substation Noise.Materials (Basel, Switzerland) · 2026Article
- An Investigation of Modular Composable Acoustic Metamaterials with Multiple Nonunique Chambers.Materials (Basel, Switzerland) · 2023Article
- Study on a Hexagonal Acoustic Metamaterial Cell of Multiple Parallel-Connection Resonators with Tunable Perforating Rate.Materials (Basel, Switzerland) · 2023Article
- Study on Sound-Insulation Performance of an Acoustic Metamaterial of Air-Permeable Multiple-Parallel-Connection Folding Chambers by Acoustic Finite Element Simulation.Materials (Basel, Switzerland) · 2023Article
- Effects of Aperture Shape on Absorption Property of Acoustic Metamaterial of Parallel-Connection Helmholtz Resonator.Materials (Basel, Switzerland) · 2023Article
- Article
- Article
- Development of Adjustable Parallel Helmholtz Acoustic Metamaterial for Broad Low-Frequency Sound Absorption Band.Materials (Basel, Switzerland) · 2022Article
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Authors and funding
9 authors.
Funding
Abstract
An acoustic metamaterial absorber of parallel-connection square Helmholtz resonators is proposed in this study, and its sound absorption coefficients are optimized to reduce the noise for the given conditions in the factory. A two-dimensional equivalent simulation model is built to obtain the initial value of parameters and a three-dimensional finite element model is constructed to simulate the sound absorption performance of the metamaterial cell, which aims to improve the research efficiency. The optimal parameters of metamaterial cells are obtained through the particle swarm optimization algorithm, and its effectiveness and accuracy are validated through preparing the experimental sample using 3D printing and measuring the sound absorption coefficient by the standing wave tube detection. The consistency between the experimental data and simulation data verifies feasibility of the proposed optimization method and usefulness of the developed acoustic metamaterial absorber, and the desired sound absorption performances for given conditions are achieved. The experimental results prove that parallel-connection square Helmholtz resonators can achieve an adjustable frequency spectrum for the low frequency noise control by parameter optimization, which is propitious to promote its application in reducing the noise in the factory.
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