Assessment of the Measurement and Prediction Methods for the Acoustic Properties of Natural Fiber Samples and Evaluation of Their Properties

ABSTRACT

Although some studies have been conducted to show how natural fibers can replace synthetic materials, the use of many natural fibers is still limited. On the other hand, the use of natural fibers can become very common in many applications once their performance is fully understood. This paper aims to present a critical assessment of the acoustic properties of natural fiber samples. First, the methods commonly used for the measurement and prediction of the acoustic properties of natural fiber samples are determined. Second, the common techniques for measuring sound absorption coefficients (SACs) and sound transmission losses (STLs) are presented, and their advantages and limitations are evaluated. After that, the models commonly used for the prediction of acoustic properties are presented. Then, the SACs of many natural fiber samples are presented along with the thickness, bulk density and flow resistivity of the samples. Furthermore, the SACs of the samples are normalized using sample thickness and bulk density, and the sound absorption performance of the fiber samples is evaluated. Based on the results of many natural fiber samples, an empirical model for estimating the SACs of natural fiber samples is presented. Finally, the STLs of some porous natural fiber samples are presented.

摘要

虽然已经有一些研究表明天然纤维可以替代合成材料, 但许多天然纤维的使用仍然有限. 另一方面, 一旦对天然纤维的性能有了充分的了解, 天然纤维的使用在许多应用中就会变得非常普遍. 本文旨在对天然纤维样品的声学性能进行评价. 首先, 确定了天然纤维样品声学特性的常用测量和预测方法. 其次, 介绍了常用的吸声系数 (SACs) 和声传输损耗 (STLs) 测量技术, 并对其优缺点进行了评价. 在此基础上, 提出了常用的声学特性预测模型. 然后, 给出了许多天然纤维样品的SACs, 以及样品的厚度, 体积密度和流动电阻率. 此外, 利用样品厚度和体积密度对样品的声囊进行归一化处理, 评价了纤维样品的吸声性能. 基于大量天然纤维样品的实验结果, 提出了一种估算天然纤维样品SACs的经验模型. 最后, 给出了几种多孔天然纤维样品的STLs.

KEYWORDS:

• Natural fiber
• acoustic properties
• model
• prediction
• measurement
• sound absorption
• transmission loss

关键词:

• 天然纤维
• 声学性能
• 模型
• 测量
• 吸声
• 传输损耗

Acknowledgments

This work was supported by TUBITAK (The Scientific and Technological Research Council of Turkey) under Grant 119M115.