Construction heat and sound insulating composite materials with high tensile strength

极限抗拉强度 复合数 材料科学 复合材料 声音(地理) 声学 物理
作者
O.V. Kozhevnikova,Е. С. Бокова,A. V. Dedov,V. G. Nazarov,L.A. Ivanov
出处
期刊:Nanotehnologii v Stroitelʹstve [OOO "CNT «NanoStroitelstvo»]
卷期号:16 (1): 22-31 被引量:1
标识
DOI:10.15828/2075-8545-2024-16-1-22-31
摘要

Introduction. The objective of this study is to examine the impact of the impregnation (with the aliphatic polyurethane water dispersion) degree on the deformation properties of the polyacetal, polyethylene terephthalate and polypropylene fibers based nonwoven needle-punched composite fabrics. Materials and methods. We investigated the deformation properties of the nonwoven fabrics manufactured from the 0.33 tex linear density fibers of: polyethyleneterephthalate (diameter 20–25 microns, according to TU 6-13- 0204077-95-91), polypropylene (diameter 27–30 microns, according to TU 2272-007-5766624-93) and the original polyacetal ones (diameter 18–22 microns). The nonwoven fabrics were obtained by the mechanical formation technique. The needlepunching surface density was 180 cm–2. The water dispersion of anionic stabilized aliphatic polyethyruretane (IMPRANIL DL 1380 (China)) with a dry residue of 40% was used for the impregnation. The experimental samples’ linear dimensions were determined in accordance with the requirements of GOST 15902.2-2003. The sample’s thickness was determined by a thickness gauge with a pressure of 10 kPa and an instrumental error ~ 0.01 mm according to GOST 11358-70. The samples’ mechanical properties were determined in accordance with the requirements of GOST 15902.3-79. Results and discussion. The fiber filler composition influence on the ob-tained (by the impregnation of polyethyleneterephthalate, polypropylene and polyacetal fibers based non-woven needle-punched fabrics with polyurethane aqueous dispersion) composite materials tensile resistance has been established. We found the impregnation degree (depending on the chemical nature of the fibers and on the direction of nonwoven fabrics formation) at which the tensile resistance of the composite materials reaches the maximum value. It is demonstrated that, in the construction of buildings and structures, it is advisable to utilize materials based on composite polyacetal fibers. These materials exhibit higher tensile resistance compared to those based on polypropylene and polyethylene terephthalate at equivalent impregnation levels. Conclusion. The obtained optimal impregnation degree (at which the maximum tensile resistance of polyacetal fiber based composite materials was achieved) depends on the direction of the non-woven fabric formation. The maximum tensile resistance was observed: in the transverse direction – at 0.44 and in the longitudinal direction – at 0.35 impregnation degree values
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
孤独乌冬面完成签到 ,获得积分10
1秒前
宫城良官完成签到 ,获得积分10
2秒前
奇点完成签到 ,获得积分10
2秒前
jimmy完成签到,获得积分10
3秒前
宋相甫完成签到,获得积分10
5秒前
tianshanfeihe完成签到 ,获得积分10
5秒前
WXR完成签到,获得积分10
5秒前
7秒前
王哈哈完成签到 ,获得积分10
8秒前
bo完成签到,获得积分10
9秒前
iOhyeye23完成签到 ,获得积分10
9秒前
陈秀娟完成签到,获得积分10
9秒前
Chloe完成签到 ,获得积分10
9秒前
科研通AI6.4应助老仙翁采纳,获得10
10秒前
科研通AI6.2应助老仙翁采纳,获得10
10秒前
科研通AI6.4应助老仙翁采纳,获得10
10秒前
科研通AI6.4应助老仙翁采纳,获得10
10秒前
Criminology34应助老仙翁采纳,获得10
10秒前
Criminology34应助老仙翁采纳,获得10
10秒前
Criminology34应助老仙翁采纳,获得10
10秒前
科研通AI6.4应助老仙翁采纳,获得10
10秒前
老的火龙果应助老仙翁采纳,获得10
10秒前
科研通AI6.4应助老仙翁采纳,获得10
10秒前
11秒前
livra1058发布了新的文献求助10
12秒前
Sun1c7完成签到,获得积分10
13秒前
泡泡完成签到 ,获得积分10
13秒前
YHBBZ完成签到 ,获得积分10
13秒前
HHM完成签到,获得积分10
15秒前
跳跃芷蕊关注了科研通微信公众号
17秒前
ncuwzq完成签到,获得积分0
17秒前
XBDM完成签到,获得积分10
19秒前
愉快的丹彤完成签到 ,获得积分10
19秒前
6S6完成签到,获得积分10
20秒前
livra1058完成签到,获得积分10
21秒前
淘宝叮咚完成签到,获得积分10
23秒前
欧阳月空完成签到,获得积分10
25秒前
洋洋完成签到 ,获得积分10
25秒前
frankyeah完成签到,获得积分10
26秒前
自然谷波完成签到,获得积分10
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7778504
求助须知:如何正确求助?哪些是违规求助? 9318811
关于积分的说明 20366349
捐赠科研通 7365581
什么是DOI,文献DOI怎么找? 3319214
关于科研通互助平台的介绍 2467170
邀请新用户注册赠送积分活动 2334675