关键词: Juncus effusus artificial neural network honeycomb sandwich panels sound absorption

来  源:   DOI:10.3390/polym16131953   PDF(Pubmed)

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.
摘要:
这项研究调查了轻质高效的吸声候选物,以满足对噪音衰减中可持续和环保材料日益增长的需求。Juncuseffusus(JE)是一种以其独特的三维网络而闻名的天然纤维,提供了一个可行的和可持续的填料增强吸声蜂窝板。制造和设计了包含JE填料的微穿孔板(MPP)蜂窝吸收器,专注于通过改变JE填料密度来优化吸收器设计,几何排列,和MPP参数。在最佳填充密度下,填充有JE纤维的MPP型蜂窝结构在20mm和50mm厚度下实现了0.5和0.7的高降噪系数(NRC),分别。使用分析模型和人工神经网络(ANN)模型,成功预测了这些吸收体的吸声特性。这项研究证明了JE光纤在改善不同行业的噪声缓解策略方面的潜力,为建筑和运输提供更可持续和高效的解决方案。
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