纱线毛羽

纱线毛羽是由纱条外部伸出来的纤维形成的。毛羽造成了纱条外观毛绒,降低了它的光泽。过多的毛羽会影响正常的上浆。织造过程中由于发毛会使相邻的纱条粘贴在一起造成较多的断头,在织物上形成纬档织疵而有损质量。就涤纶混纺纱来说,毛羽也会造成织物表面大量起球。本文简要研究一下各种纤维和加     

浅谈纱线毛羽的控制

叙述了纱线毛羽产生的主要原因,分析了纱线形态以及影响纱线毛羽的基本规律,提出了控制纱线毛羽的基本方法。     

数字图像处理法测纱线毛羽的方法和仪器

在回顾传统测试方法的基础上，介绍了数字图像处理技术在毛羽检测中的应用。这种方法具有快速、方便、成本低的特点，提高了工作效率。     

应用图像处理的纱线黑板毛羽量检测与评价

针对目测法检测纱线黑板毛羽效率低、主观性强等问题,提出一种新的基于图像处理的毛羽检测方法。纱线黑板经扫描仪采集图像,然后进行中值滤波、二值化、形态学运算、局部阈值等处理,得到黑板毛羽图像,统计出毛羽像素点个数,提出评价黑板毛羽量的指标--M指数。采用原料、线密度和纺纱方式各不相同的纱线进行实验,测得18种纱线的毛羽M指数,与乌斯特仪得到的毛羽H值建立回归模型,两种测试结果之间的相关系数为0.975。6种纱线的验证结果表明,本文提出的毛羽检测法和建立的毛羽M指数能较完整地提取和评价整块纱线黑板毛羽,算法精度高、评定结果可信度好。     

用激光和微电脑检测纱线毛羽

利用氮－氖激光器和Ｚ８０单析机， 试合适的放大电路，组成一个激光测试系统，试用该系统检测纱线上毛羽，与国产ＹＧ１７１型毛羽仪的对比实验表明，本系统用来少毛毛羽是可行的，不仅数据准确可靠，而且具有操作简单，灵活性的大的优点。     

减少苎麻纱线毛羽的研讨

由于苎麻纱线毛羽多，且硬而长，对织造和生产及织物服用性能有很大的影响。如何减少纱线毛羽是一个很重要的问题。本文着重讨论织造各工序对纱线毛羽的影响及减少毛羽的措施。     

纱线毛羽性能测试分析

介绍了纱线毛羽的测试与评定方法。纱线毛羽与纱线的均匀度、断裂强度等指标都有关系。通过实验,对纱线毛羽的性能测试和影响因素做了分析,以减少纱线毛羽和提高纱线质量。     

Measurement of yarn hairiness by digital image processing

In their effort to measure yarn hairiness at high speed, the commercially available yarn hairiness testers resort to indirect techniques. Measurement of true length of all hairs can only be done by observing the yarn under a microscope and obtaining a trace of hairs. An attempt was made in this work to automate this task using digital image processing. The challenges were two-fold. The first was development of an algorithm capable of analysing yarn images taken under varying lighting conditions and varying yarn positions. The second was determination of minimum requirement of the image-capturing instrument. Both of these have been reported in this work. A new hairiness index has been proposed and suggested as a better indicator of hairiness than the traditional definition.     

Measurement of long yarn hair based on hairiness segmentation and hairiness tracking

For the problem of hairiness information missed in existing hairiness measurement method, the goal of this work is to accurately measure the length of long yarn hairiness and obtain the path over every hairiness point of the whole hairiness. To achieve this goal, the yarn images were captured by the video microscope (MOTIC) and the thinned hairiness images were obtained by a series of image processing. The different measurement baseline and step value were choose to segment long hairiness in the method of hairiness segmentation, and the different hairiness lengths were obtained, the results of length show that the length of 0.5mm (baseline)and 3 pixels (step value) is closest to hairiness real length. And then, the more accurate lengths of the hairiness were calculated by the method of hairiness tracking. The lengths of the two new methods are longer than the length of the method of fixed length (1mm), but the lengths of hairiness tracking is longer than the longest lengths of hairiness segmentation. The compared results show that the method of hairiness tracking can record the information of every point in hairiness and calculate the pixels of a hair fiber, and acquire more complete information of full hairiness then hairiness segmentation.     

基于机器视觉的玻璃纤维管纱毛羽检测

为实现玻璃纤维管纱毛羽检测的自动化,设计了基于机器视觉的玻璃纤维管纱毛羽检测系统。使用光源、相机、电机等搭建图像获取平台得到毛羽图像;利用Blob连通域分析法进行毛羽区域提取,计算毛羽轮廓矩特征与毛羽区域特征,并结合支持向量机实现毛羽分类;根据毛羽分类结果以及前后2帧图像中毛羽位置坐标差值,对不同类型的毛羽数量进行统计;通过毛羽的最小外接矩形,得到每帧图像中的毛羽长度数据,并取每个毛羽长度数据的最大值作为相应的毛羽长度。结果表明:该系统能够代替人工完成管纱毛羽的有效检测,且单个管纱的检测耗时在10 s以内,能够满足实际的工业需要。     

简论纱线毛羽的测试方法

叙述了毛羽的定义和形成过程，介绍了几种毛羽测试仪和测试方法，分析对比了测试结果和各自的优缺点，认为Zweigle C566型测试仪的毛羽指标更有可能成为紧密纱的一个重要性能指标。     

基于毛羽图像检测的浆纱抗起毛性能评价

为准确检测织造载荷作用前后浆纱的毛羽及有效表征浆纱的抗起毛性能,提出一种基于毛羽量图像检测的浆纱抗起毛性能评价方法.对纯棉14.5 tex的原纱和3种不同上浆率的浆纱,在JN-01浆纱耐磨性能测试仪上模拟织造载荷,并进行不同载荷次数的摩擦起毛实验.起毛后的纱线经图像采集、纱线主干分割、毛羽分割和主摩擦区间定位等处理后,...     

Automatic measurement of yarn hairiness based on the improved MRMRF segmentation algorithm

In order to determine the yarn hairiness characteristic index more accurately, a new yarn hairiness testing strategy based on a combination of image acquisition technology is proposed. Firstly, the captured yarn images are processed with gray-scale conversion and skew correction. Secondly, yarn segmentation is implemented using a multi-resolution Markov Random Field (MRMRF) model with a variable weight in the wavelet domain and yarn stem separation is realized through iterative threshold segmentation algorithm. Thirdly, the image of yarn hairiness is extracted. Finally, the total number and actual number of yarn hairiness of different length are counted sequentially based on the segmentation lines and baseline of yarn stem edge. The baseline is obtained by calculating the average distance between yarn stem edge and yarn axis. Furthermore, the feature is analyzed. Experimental results show that, compared with visual observation method, the maximum deviation of proposed image processing algorithm is 3.88%. The proposed approach can make the results of yarn hairiness segmentation more precisely, and then the more reliable results of hairiness feature detection are obtained.     

合理选择工艺参数,减少纱线毛羽

在纺JC14．5tex纱的生产实践中进行了减少毛羽的研究,认为合理配棉、控制清梳机械主要机件转速、适当增加精梳落棉率、提高并条的伸直平行度、适当增大粗纱捻系数、控制细纱工艺、选择合理络筒工艺都可以达到减少纱线毛羽的目的。     

棉纺厂控制纱线毛羽实践

针对影响织造印染加工的纱线毛羽问题,结合生产实践,讨论了喂入结构、钢领、铜丝圈型号和使用周期,以及细纱工序、络筒工序等设备及生产环节对纱线毛羽产生的影响。