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表征和模拟来自烟头的醋酸纤维素纤维的吸声性能。

Characterizing and modelling the sound absorption of the cellulose acetate fibers coming from cigarette butts.

作者信息

Maderuelo-Sanz Rubén

机构信息

Instituto Tecnológico de Rocas Ornamentales y Materiales de Construcción, Campus Universidad de Extremadura, 10071 Cáceres, Spain.

出版信息

J Environ Health Sci Eng. 2021 May 16;19(1):1075-1086. doi: 10.1007/s40201-021-00675-0. eCollection 2021 Jun.

Abstract

This work deals an experimental and theoretical research about the porous structure and the acoustic performance of cellulose acetate coming from the used cigarette filters. The porous structure was studied through the measurement and the prediction (using an inverse methodology) of some non-acoustic properties (bulk density, fiber size, porosity or flow resistivity and tortuosity). The sound absorption performance was evaluated by comparing experimental measurements using an impedance tube according to ISO 10534-2 with the best-fit approach obtained using some empirical models (Delany and Bazley, Garai-Pompoli, Komatsu and Miki). The accuracy of empirical models to obtain the flow resistivity was relatively high showing differences lower than 8% in the case of the Miki model or lower than 12% in the case of Delany & Bazley model. Regarding the absorption spectra, the errors found were lower than 9% for all the empirical models used in this work. These results showed that using relatively simple models such as empirical models were able to predict accurately the acoustic behaviour of the cellulose acetate. Finally, the sound absorption spectra obtained for cellulose acetate were compared with those obtained for fibrous materials currently used in building sector, suggesting that this fibrous waste could act as a possible substitute to traditional ones, due to the similar relatively high NRC values obtained for both type of fibrous absorber (NRC = 0.65).

摘要

这项工作涉及对来自用过的香烟过滤嘴的醋酸纤维素的多孔结构和声学性能进行实验和理论研究。通过测量和预测(使用反演方法)一些非声学特性(堆积密度、纤维尺寸、孔隙率或流阻和曲折度)来研究多孔结构。根据ISO 10534-2,使用阻抗管进行实验测量,并与使用一些经验模型(德拉尼和巴兹利模型、加赖-庞波利模型、小松和三木模型)获得的最佳拟合方法相比较,来评估吸声性能。经验模型获得流阻的准确性相对较高,在三木模型的情况下差异低于8%,在德拉尼和巴兹利模型的情况下差异低于12%。关于吸收光谱,本工作中使用的所有经验模型发现的误差均低于9%。这些结果表明,使用诸如经验模型之类相对简单的模型能够准确预测醋酸纤维素的声学行为。最后,将醋酸纤维素获得的吸声光谱与建筑行业目前使用的纤维材料获得的吸声光谱进行比较,这表明这种纤维废料可能因其与两种纤维吸声材料获得的相对较高的噪声降低系数值(NRC = 0.65)相似而成为传统材料的一种可能替代品。

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