已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Multi-criteria decision analysis for supporting the selection of car upholstery fabric under degradation due to UV exposure

织物 材料科学 汽车工业 机织物 复合材料 磨损(机械) 聚酯纤维 纱线 工程类 航空航天工程
作者
Magdi El Messiry,Abu Baker Mito,Sherien Issa
出处
期刊:Journal of Engineered Fibers and Fabrics [SAGE Publishing]
卷期号:17 被引量:3
标识
DOI:10.1177/15589250221109934
摘要

Automotive textiles are one of the most important markets in the technical textile sector. Various types of requirements must be considered in the development of the interior fabrics to satisfy both esthetic and functional demands. Many factors are affecting the properties of the car upholstery fabrics, for instance textile material, yarn specifications, fabric construction, and finishing material as well as combined with UV and light resistance. The influence of UV radiation on the degradation rate involves several parameters such as fabric tenacity, elongation, abrasion resistance, and flammability, under exposure to sunlight for several exposure times. Consequently, it’s important to determine the degradation of the automotive textiles according to area where it will be served. Generally, several properties are prerequisites should be all together considered to selected car upholstery fabric, basis on overseeing several requirements and ranking the candidate fabric properties. In this paper, an approach to choose the optimal material for a given component is described, and fabric properties are classified given each a suitable weight. In a simulation of a car cabin in shape and conditions, a radiation chamber was constructed to expose different fabric specimens to sun light. Two evaluation methods were proposed for the ranking of the car upholstery material, made of different fabrics, according to its property loss due to UV exposure during severability. It was found that polyester and nylon are ranked to be the best materials for automobile upholstery.
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
科研通AI6.4应助陈昇采纳,获得10
刚刚
1秒前
LLZZCC发布了新的文献求助10
1秒前
陈攀攀发布了新的文献求助10
2秒前
mannich发布了新的文献求助10
3秒前
4秒前
小二郎应助beyondh采纳,获得10
5秒前
桃子发布了新的文献求助10
6秒前
CodeCraft应助liu采纳,获得10
8秒前
汤姆完成签到,获得积分10
9秒前
9秒前
音乐家四四完成签到,获得积分10
9秒前
Nowind发布了新的文献求助10
10秒前
SciGPT应助陈攀攀采纳,获得10
10秒前
NexusExplorer应助yu采纳,获得10
11秒前
qaqu应助包容的香菱采纳,获得10
13秒前
14秒前
15秒前
15秒前
rezeli完成签到,获得积分10
17秒前
17秒前
nian完成签到,获得积分10
18秒前
19秒前
Miracle_wh完成签到 ,获得积分10
20秒前
20秒前
宇文鹏煊发布了新的文献求助10
20秒前
21秒前
22秒前
共享精神应助mannich采纳,获得10
25秒前
现实的秋凌完成签到 ,获得积分10
26秒前
bkagyin应助桃子采纳,获得10
26秒前
ZequnFan发布了新的文献求助10
26秒前
领导范儿应助hgeng采纳,获得10
27秒前
28秒前
墨玖辰完成签到 ,获得积分10
28秒前
liu发布了新的文献求助10
28秒前
田様应助辣椒油想躺平采纳,获得10
31秒前
yzy应助哈啊啊啊啊采纳,获得10
31秒前
喂喂完成签到,获得积分10
32秒前
dundundun完成签到,获得积分10
33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
Health Psychology 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7591077
求助须知:如何正确求助?哪些是违规求助? 9168476
关于积分的说明 19624617
捐赠科研通 7169854
什么是DOI,文献DOI怎么找? 3267424
关于科研通互助平台的介绍 2432229
邀请新用户注册赠送积分活动 2259715