Fatigue Behavior of Filament Warp Yarns under Cyclic Loads during Weaving Process

Author:

Nosraty H.1,Jeddi Ali A. A.2,Jamshidi Avanaki M.2

Affiliation:

1. Department of Textile Engineering, Amirkabir University of Technology, Tehran 15914, Iran,

2. Department of Textile Engineering, Amirkabir University of Technology, Tehran 15914, Iran

Abstract

Warp yarns in their different applications during weaving processes are often required to support loads, either in a static manner (simple tensile) or in a dynamic one (fatigue). For this reason, the investigation into the variations of the mechanical behavior of warp yarns during weaving condition is important. The purpose of this investigation was to simulate the cyclic loading of weaving process on filament warp yarns and report their fatigue behavior. In this study, the general characterization analysis of three types of the most ordinary filament yarns, polyester, polypropylene and nylon, was performed and then their fatigue behavior was simulated as warp yarns under cyclic loading by using the dynamic mechanical analyzer (DMA 2980). For this simulation, by looking at the conditions of the most common weaving looms, two sets of frequencies as loom speed and two sets of strains as loom geometry were chosen. The relevant variations of the yarn elongation, yarn stress, yarn storage modulus, yarn loss modulus and the damping factor of the yarns were measured and studied. Our test results revealed that the polypropylene yarns had the minimum change in their mechanical behavior and the nylon yarns had the minimum amount of characteristics under different loading conditions. It was found that the resistance of nylon to cyclic loads was higher than polyester and polypropylene. Also, polyester was the weakest yarn because of high change range in its mechanical and physical properties. We also demonstrated that only the polyester yarn revealed immediate failure at 2 % strain.

Publisher

SAGE Publications

Subject

Polymers and Plastics,Chemical Engineering (miscellaneous)

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3