Sound Absorption Performance of Ultralight Honeycomb Sandwich Panels Filled with “Network” Fibers—Juncus effusus

Zhao Liu, Chenhao Dong, Lu Tong, Chris Rudd, Xiaosu Yi, Xiaoling Liu

Research output: Journal PublicationArticlepeer-review

Abstract

This study investigates lightweight and efficient candidates for sound absorption to address the growing demand for sustainable and eco-friendly materials in noise attenuation. Juncus effusus (JE) is a natural fiber known for its unique three-dimensional network, providing a viable and sustainable filler for enhanced sound absorption in honeycomb panels. Microperforated-panel (MPP) honeycomb absorbers incorporating JE fillers were fabricated and designed, focusing on optimizing the absorber designs by varying JE filler densities, geometrical arrangements, and MPP parameters. At optimal filling densities, the MPP-type honeycomb structures filled with JE fibers achieved high noise reduction coefficients (NRC) of 0.5 and 0.7 at 20 mm and 50 mm thicknesses, respectively. Using an analytical model and an artificial neural network (ANN) model, the sound absorption characteristics of these absorbers were successfully predicted. This study demonstrates the potential of JE fibers in improving noise mitigation strategies across different industries, offering more sustainable and efficient solutions for construction and transportation.

Original languageEnglish
Article number1953
JournalPolymers
Volume16
Issue number13
DOIs
Publication statusPublished - Jul 2024

Keywords

  • Juncus effusus
  • artificial neural network
  • honeycomb
  • sandwich panels
  • sound absorption

ASJC Scopus subject areas

  • General Chemistry
  • Polymers and Plastics

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