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Simulation, measurement and optimization of sound absorption in gradient impedance fiber-based composites

Jiahao Chen, Huiqin Li, Zonghuan Yan, Zhichao Zhang, Jixian Gong, Yufan Guo, Jianfei Zhang

2023Measurement16 citationsDOIOpen Access PDF

Abstract

In order to achieve effective noise absorption by finite thickness fiber-based materials, fiber-based composites integrating porous, resonant and damping structures were prepared in this research. Here, the effects of gradient structure, number of constituent units, nonwovens thickness and micro-perforated membrane fabric (MPMF) arrangement on the noise reduction of the composites were simulated and measured. The results showed that the gradient fiber-based composite has excellent broadband sound absorption effect. Moreover, designing the arrangement of micro-perforated structures in the composite can further improve its noise reduction coefficient (NRC). The fiber-based composite (thickness of 1.34 cm) designed by the algorithm has an NRC of 0.51, which is much higher than other noise reduction products with the same thickness. The multi-layer fiber-based composites have the advantages of strong noise reduction capability, small thickness, simple processing and low manufacturing cost, which can be flexibly applied in various noise reduction fields.

Topics & Concepts

Materials scienceComposite materialNoise reduction coefficientNoise reductionFiberNoise (video)Composite numberReduction (mathematics)Absorption (acoustics)PorosityBroadbandAcousticsComputer scienceTelecommunicationsMathematicsImage (mathematics)Artificial intelligenceGeometryPhysicsAcoustic Wave Phenomena ResearchNoise Effects and ManagementVehicle Noise and Vibration Control
Simulation, measurement and optimization of sound absorption in gradient impedance fiber-based composites | Litcius