The Influence of Physical Properties and Increasing Woven Fabric Layers on the Noise Absorption Capacity

材料科学 机织物 复合材料 织物结构 织物 聚酯纤维 平纹织物 多孔性 无纺布 表面粗糙度 噪音(视频) 降噪系数 透气比表面积 纱线 图层(电子) 纤维 人工智能 图像(数学) 计算机科学
作者
Bethalihem Teferi Samuel,Marcin Barburski,Ewa Witczak,Izabela Jasińska
出处
期刊:Materials [MDPI AG]
卷期号:14 (20): 6220-6220 被引量:3
标识
DOI:10.3390/ma14206220
摘要

Noise pollution from the environment may wreak havoc on a person's wellbeing. Numerous sound-absorbing materials are employed to address these issues, one of which is textile-woven fabrics. In this study, 12 woven textiles with four different weave structures (plain, rib, sateen, and twill) and those formed from three distinct polyester yarns were evaluated for their sound absorption properties using an impedance tube. The study was conducted within the range of 80-5000 (Hz) frequency. Part of the investigation was measuring different layers of woven fabrics under three different measuring conditions. Firstly, only woven fabrics were evaluated. Following that, woven and nonwoven textiles were measured. The third variant, in addition to the woven fabrics, included an air gap. In addition, this study includes tests and analyses of the effect of roughness and porosity of the fabric structure on the effectiveness of noise reduction by woven fabrics. The absorption capacity of plain fabric is higher at lower frequencies than other woven fabrics. Other weave structures noise reduction efficiency is higher as the frequency range increases. The absorption efficiency of plain fabric decreases with fabric layering. Utilizing woven fabric combined with nonwoven fabric reduces noise more effectively than the air gap variant. Low surface roughness and a highly porous surface of the fabric indicate a high noise reduction coefficient (NRC).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
哞哞发布了新的文献求助10
刚刚
CipherSage应助科研通管家采纳,获得10
刚刚
赘婿应助Quzhengkai采纳,获得10
刚刚
sutharsons应助科研通管家采纳,获得30
刚刚
李爱国应助科研通管家采纳,获得30
1秒前
1秒前
1秒前
调研昵称发布了新的文献求助10
1秒前
CodeCraft应助清新的苑博采纳,获得10
2秒前
所所应助Chen采纳,获得10
3秒前
5秒前
5秒前
goldenfleece发布了新的文献求助10
5秒前
怕黑的钥匙完成签到 ,获得积分10
5秒前
zhangsf88完成签到,获得积分10
5秒前
科研通AI5应助科研小能手采纳,获得10
5秒前
乐乐应助热情芷荷采纳,获得10
6秒前
想发sci完成签到,获得积分10
6秒前
kaifeiQi完成签到,获得积分10
6秒前
共享精神应助Elsa采纳,获得10
6秒前
6秒前
Owen应助怎么可能会凉采纳,获得10
7秒前
小马甲应助ATAYA采纳,获得10
8秒前
溜溜发布了新的文献求助10
10秒前
10秒前
怕黑的钥匙关注了科研通微信公众号
10秒前
CipherSage应助小梁要加油采纳,获得10
11秒前
杰克发布了新的文献求助10
12秒前
liuq完成签到,获得积分10
13秒前
13秒前
16秒前
爱吃猫的鱼完成签到 ,获得积分10
16秒前
16秒前
哞哞完成签到,获得积分10
16秒前
颗粒完成签到,获得积分10
17秒前
17秒前
19秒前
Elsa完成签到,获得积分10
19秒前
19秒前
榴下晨光完成签到 ,获得积分10
19秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527961
求助须知:如何正确求助?哪些是违规求助? 3108159
关于积分的说明 9287825
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716926
科研通“疑难数据库(出版商)”最低求助积分说明 709808