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基于图像的喷气涡流纺纱线捻度测试方法探讨
引用本文:李浩,邢明杰,孙志豪,吴瑶.基于图像的喷气涡流纺纱线捻度测试方法探讨[J].纺织学报,2021,42(2):60-64.
作者姓名:李浩  邢明杰  孙志豪  吴瑶
作者单位:青岛大学 纺织服装学院, 山东 青岛 266071
摘    要:为探究适用于喷气涡流纺纱线捻度测试的有效方法,在对比分析喷气涡流纺纱线与传统环锭纺纱线结构的基础上,借助扫描电子显微镜,分别通过喷气涡流纺纱线的外观图像和横截面图像,测试了喷气涡流纺纱线捻度。并采用Photoshop软件处理喷气涡流纺纱线横截面图像,探究喷气涡流纺纱线内外层纤维数量比与其捻度的关系,提出了用喷气涡流纺纱线内外层纤维数量比表征其捻度的建议。研究结果表明:因喷气涡流纺纱线的特殊结构,传统的加捻退捻法不适应喷气涡流纺纱线捻度测试,通过纱线图像测试其捻度是可行的;喷气涡流纺纱线内外层纤维数量比与其捻度之间呈负相关关系。

关 键 词:喷气涡流纺纱线  纱线结构  捻度  内外层纤维数量比  图像  
收稿时间:2020-10-29

Exploration of image-based testing method for yarn twist in air-jet vortex spinning
LI Hao,XING Mingjie,SUN Zhihao,WU Yao.Exploration of image-based testing method for yarn twist in air-jet vortex spinning[J].Journal of Textile Research,2021,42(2):60-64.
Authors:LI Hao  XING Mingjie  SUN Zhihao  WU Yao
Affiliation:College of Textile and Clothing, Qingdao University, Qingdao, Shandong 266071, China
Abstract:In order to find an effective method suitable for yarn twist test produced by air-jet vortex spinning,with the help of scanning electron microscope,the twist of the yarn was tested by the appearance and cross-section images of the air-jet vortex spinning yarns,based on the comparative analysis of yarns made via air-jet vortex spinning and the traditional ring-spinning.Photoshop was used to process the cross-sectional images of the air-jet vortex spinning yarn,determining the outer layer and the inner layer of the yarns.The relationship between the ratio of inner and outer fibers of air-jet spun yarns and twists were analyzed.The research results show that due to the special structure of the air-jet vortex spinning yarn,the traditional twisting and untwisting method is not suitable for the air-jet vortex spinning yarn twist test.It is feasible to test the twist by the image of air jet vortex spinning yarn.There is a negative correlation between the ratio of the number of fibers in the inner and outer layers of the air-jet vortex spinning yarn and its twist.
Keywords:air-jet vortex spinning yarn  yarn structure  twist  ratio of number of fibers in inner and outer layers  image
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