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!

Geometric modelling and finite element analysis of plain-woven natural fibre reinforced hybrid textile composites

平纹织物 复合材料 材料科学 机织物 纱线 有限元法 编织 玄武岩纤维 热固性聚合物 纤维 结构工程 工程类
作者
M. Vinay Kumar,Abhishek Tevatia,Anurag Dixit
出处
期刊:Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications [SAGE]
卷期号:239 (3): 540-555 被引量:1
标识
DOI:10.1177/14644207241267024
摘要

Prior to the fabrication and implementation processes, it is imperative to accurately predict the mechanical strength of the textile composite. The major goal of this work is to develop a three-dimensional finite element method to estimate the mechanical response of a woven fabric hybrid natural textile composite under compression. A mesoscale finite element model for a plain-woven fabric unit cell has been developed and analysed for its mechanical characteristics. For their mechanical robustness, six natural fibre plain-woven patterns viz. flax plain, jute plain, basalt plain, inter-yarn hybrid basalt-flax plain, and jute-flax plain were compared and thoroughly examined. These patterns’ mechanical properties were modelled and critically contrasted using matrix materials like thermoset epoxy and thermoplastic polypropylene. The basalt-flax plain with epoxy as the matrix material has excellent mechanical properties among the numerous analysed patterns. Thus, it was concluded that transverse-longitudinal shear characteristics and yarn cross-sectional stiffness have the greatest influence on compressed textiles. In parametric analysis, the impact of geometric parameters on strain energy, artificial strain energy, displacement, and contact pressure – such as yarn width, yarn spacing, and fabric thickness was thoroughly investigated and discussed in detail. The current model can accurately mimic a textile fabric with various weaving patterns, material properties, and stress conditions.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
努力的安子完成签到,获得积分10
5秒前
5秒前
5秒前
6秒前
寒寒寒寒发布了新的文献求助10
8秒前
8秒前
9秒前
量子星尘发布了新的文献求助10
10秒前
kkk发布了新的文献求助10
10秒前
小飞发布了新的文献求助10
12秒前
孙文杰完成签到 ,获得积分10
13秒前
捌柒陆发布了新的文献求助10
13秒前
15秒前
科研通AI6应助小小鱼采纳,获得10
17秒前
childe发布了新的文献求助20
17秒前
完美世界应助捌柒陆采纳,获得10
19秒前
20秒前
能干的幼菱完成签到,获得积分10
22秒前
英姑应助KwokFung采纳,获得20
23秒前
25秒前
英姑应助gmugyy采纳,获得10
28秒前
29秒前
科研通AI6应助小小鱼采纳,获得10
30秒前
guo完成签到 ,获得积分10
30秒前
纪贝贝完成签到,获得积分10
33秒前
Zone完成签到 ,获得积分10
34秒前
balabala发布了新的文献求助10
34秒前
芳华如梦完成签到,获得积分10
36秒前
46秒前
49秒前
砍柴少年发布了新的文献求助10
51秒前
KwokFung发布了新的文献求助20
51秒前
53秒前
一只呆呆完成签到 ,获得积分10
53秒前
万能图书馆应助Zz采纳,获得10
55秒前
于凡完成签到,获得积分10
56秒前
充电宝应助Adrenaline采纳,获得20
58秒前
罗丝钉完成签到,获得积分10
59秒前
思源应助无情的宛儿采纳,获得10
59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
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
Metagames: Games about Games 700
King Tyrant 640
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5573086
求助须知:如何正确求助?哪些是违规求助? 4659159
关于积分的说明 14723983
捐赠科研通 4599050
什么是DOI,文献DOI怎么找? 2524086
邀请新用户注册赠送积分活动 1494642
关于科研通互助平台的介绍 1464679