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Natural fibro-granular composite as a novel sustainable sound-absorbing material

机译:天然纤维颗粒复合材料作为一种新型可持续吸声材料

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An innovative natural fibro-granular composite made of kenaf fibers and waste rice husk granules is developed and presented in this paper. The optimization of the sound absorption coefficient (SAC) of the composites was investigated through the impedance tube method. The central composite design (CCD) technique with response surface methodology (RSM) was used to design the experiments. A quadratic model was established to identify the effects of independent variables, including the thickness (20-60 mm), density (100-300 kg/m(3)), binder content (10-30 %w/w), and fiber to granule ratio (0.33-3) on the sound absorption average. The accuracy of the proposed model was assessed using ANOVA, and the results demonstrated that all the independent variables were significantly associated with sound absorption. The RSM-CCD model provided the combination for the optimized composite, i.e. thickness of 50 mm, density of 200 kg/m(3), binder content of 15 %w/w, and fiber to granule ratio of 2.33. The fibro-granular composite prepared using the optimized results was further characterized in terms of SAC, airflow resistivity, tortuosity, and viscous and thermal characteristic lengths. The results pointed to the promising acoustic behavior of the optimized fibro-granular material. Results show that at all frequencies, the optimized fibro-granular sample provides higher sound absorption compared with samples made of 100% kenaf or 100% rice husk. The frequency-dependent SAC of the optimized material was also predicted by the empirical Delany-Bazley model and the phenomenological model of Johnson-Champoux-Allard, although this last model showed superior prediction performance. (C) 2021 Elsevier Ltd. All rights reserved.
机译:本文开发并介绍了由keNaf纤维和废稻壳颗粒制成的创新天然纤维颗粒复合材料。通过阻抗管法研究了复合材料的吸声系数(SAC)的优化。使用响应面方法(RSM)的中央复合设计(CCD)技术用于设计实验。建立了一种二次模型,以确定独立变量的影响,包括厚度(20-60mm),密度(100-300kg / m(3)),粘合剂含量(10-30%w / w)和纤维对吸收平均值的颗粒比(0.33-3)。使用ANOVA评估所提出的模型的准确性,结果表明所有独立变量都与吸音显着相关。 RSM-CCD模型提供了优化复合材料的组合,即50mm的厚度,密度为200kg / m(3),15%w / w的粘合剂含量,纤维为2.33。使用优化结果制备的纤维粒状复合材料进一步以囊,气流电阻率,曲折,粘性和粘性和热特性长度为特征。结果指出了优化的纤维颗粒材料的有希望的声学行为。结果表明,在所有频率下,优化的纤维颗粒样品提供更高的吸音与100%keNAF或100%稻壳制成的样品相比。经过经验的Delany-Bazley模型和Johnson-Champoux-Allard的现象学模型,也预测了优化材料的频率依赖性囊,尽管该模型呈现出优越的预测性能。 (c)2021 elestvier有限公司保留所有权利。

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