Sound Absorption Properties and Accuracy of Prediction Models on Natural Fiber Based Nonwoven Materials. Issue 15 (23rd November 2022)

• Record Type: Journal Article
• Authors: Yang, Tao; Hu, Lizhu; Xiong, Xiaoman; Yu, Deyou; Petrů, Michal; Yang, Kai; Novák, Jan; Militký, Jiří
• Is Part Of: Journal of natural fibers. Volume 19:Issue 15(2022)
• Page Start: 10588
• Page End: 10600
• Publication Date: 2022-11-23
• Subjects: Natural fiber -- cotton -- wool -- sound absorption -- prediction -- modification; 关键词 -- 天然纤维 -- 棉 -- 羊毛 -- 吸声 -- 预言 -- 修改; Textile research -- Periodicals; Textile research; Periodicals; 677.005
• DOI: 10.1080/15440478.2021.2002755
• Languages: English
• ISSNs: 1544-0478

Abstract

ABSTRACT: In this work, the sound absorption performance of cotton fiber- and wool fiber-based nonwoven fabrics as well as one pure polyester nonwoven fabric were investigated. The Brüel & Kjær two-microphone impedance tube is used to conduct the measurement in the frequency of 50–6400 Hz. Empirical and semi-phenomenological models are used to predict the acoustical impedance and sound absorption coefficient of natural fiber-based nonwoven fabrics. The nonwoven fabric containing 60 wt.% cotton fiber and 40 wt.% polyester fiber shows a comparable sound absorption ability compared with the polyester nonwoven. At the same time, this property for wool-based nonwoven is relatively poor. Moreover, the prediction is still not acceptable, although the Voronina model exhibits better prediction for the natural fiber-based nonwoven materials compared with the other two prediction models. The modification on the Miki model was conducted to fit the cotton and wool fiber-based nonwovens. The modified Miki model demonstrates an accurate prediction on surface impedance and sound absorption coefficient for the natural fiber-based nonwovens.