Automatic Determination of Yarn Hairiness Length Based on Image Processing and Analysis Algorithm

A new algorithm is proposed to determine the actual length and the number of the protruding fibres of yarn based on a combination of image acquisition technology. First, a yarn hairiness image is obtained by the series of image processing procedures that include grayscale transformation,skew correction,yarn binary image acquisition and yarn core binary image obtaining. Then,the hairiness is realized in single pixel width by the usage of thinning algorithm. Finally, a baseline of yarn core margin is obtained,and pixels that match 8-neighbor template correctly are found by row scanning in a certain area. From this,these pixels are judged and the real crossover points of yarn core margin and hairiness,i. e.,the starting points of hairiness,are gained. The real length of the protruding fibres is calculated by tracking hairiness from the starting point constantly.

Effect of Processing Conditions on the Interlaced Yarn

A new interlacer is used in this paper to investigate the effect of processing conditions on the properties of interlaced yarn.The experimental results show that number of tangles of interlaced yarn changes little with air pressure from 0.2 MPa to 0.5 MPa,and the number of tangles has a maximum value with yarn speed changing.For two yarn directions of entering and leaving yarn guide of interalcer,the yarn speed for the maximum number of tangles is 400 m/min and 600 m/min,respectively.The number of tangles changes with air pressure and yarn speed for two yarn directions is compared.

Study on the Rotor Spinning Processing of Spun Silk/Cashmere Blended Yarn

This paper studies rotor spinning blended yarn produced of spun silk and cashmere.Nine samples were spun,from three different opening rollers and different navels.According to the Uster test results of yarn quality properties,optimum selection is done by using analysis method of combining fuzzy decision-making and fuzzy pattern classification.Experimental plan is designed based on universal rotated experimental design,and the method of confined optimization is used to optimize the speed of opening roller,the speed of rotor and twist factor,according to the results of yarn quality test by Uster.

Study on Licker-In and Flat Speeds of Carding Machine and Its Effects on Quality of Cotton Spinning Process

Spinning has a significant influence on all textile processes. Combinations of all the capital equipment display the process’ critical condition. By transforming unprocessed fibers into carded sliver and yarn, the carding machine serves a critical role in the textile industry. The carding machine’s licker-in and flat speeds are crucial operational factors that have a big influence on the finished goods’ quality. The purpose of this study is to examine the link between licker-in and flat speeds and how they affect the yarn and carded sliver quality. A thorough experimental examination on a carding machine was carried out to accomplish this. The carded sliver and yarn produced after experimenting with different licker-in and flat speed combinations were assessed for important quality factors including evenness, strength, and flaws. To account for changes in material qualities and machine settings, the study also took into consideration the impact of various fiber kinds and processing circumstances. The findings of the investigation showed a direct relationship between the quality of the carded sliver and yarn and the licker-in and flat speeds. Within a limited range, greater licker-in speeds were shown to increase carding efficiency and decrease fiber tangling. On the other hand, extremely high speeds led to more fiber breakage and neps. Higher flat speeds, on the other hand, helped to enhance fiber alignment, which increased the evenness and strength of the carded sliver and yarn. Additionally, it was discovered that the ideal blend of licker-in and flat rates varied based on the fiber type and processing circumstances. When being carded, various fibers displayed distinctive behaviors that necessitated adjusting the operating settings in order to provide the necessary quality results. The study also determined the crucial speed ratios between the licker-in and flat speeds that reduced fiber breakage and increased the caliber of the finished goods. The results of this study offer useful information for textile producers and process engineers to improve the quality of carded sliver and yarn while maximizing the performance of carding machines. Operators may choose machine settings and parameter adjustments wisely by knowing the impacts of licker-in and flat speeds, which will increase textile industry efficiency, productivity, and product quality.

Model to Study Resin Impregnation Process of Premix Made of Friction Spun Core Yarn

A model was deveIoped to investigate impregnation behavior of thermoplastic resin into filament bundle based on Darcy's law. Consolidation processes of unidirectional laminate were performed to evaluate the validity of the model. Friction spun core yarns were used in the experiments with polypropylene fiber sheath and glass filament core. The processing conditions, such as temperature and pressure, and filament parameters were taken into consideration. A good agreement was found between theoretical prediction and experiment data.

Study on Licker-In and Flat Speeds of Carding Machine and Its Effects on Quality of Cotton Spinning Process

Spinning has a significant influence on all textile processes. Combinations of all the capital equipment display the process’ critical condition. By transforming unprocessed fibers into carded sliver and yarn, the carding machine serves a critical role in the textile industry. The carding machine’s licker-in and flat speeds are crucial operational factors that have a big influence on the finished goods’ quality. The purpose of this study is to examine the link between licker-in and flat speeds and how they affect the yarn and carded sliver quality. A thorough experimental examination on a carding machine was carried out to accomplish this. The carded sliver and yarn produced after experimenting with different licker-in and flat speed combinations were assessed for important quality factors including evenness, strength, and flaws. To account for changes in material qualities and machine settings, the study also took into consideration the impact of various fiber kinds and processing circumstances. The findings of the investigation showed a direct relationship between the quality of the carded sliver and yarn and the licker-in and flat speeds. Within a limited range, greater licker-in speeds were shown to increase carding efficiency and decrease fiber tangling. On the other hand, extremely high speeds led to more fiber breakage and neps. Higher flat speeds, on the other hand, helped to enhance fiber alignment, which increased the evenness and strength of the carded sliver and yarn. Additionally, it was discovered that the ideal blend of licker-in and flat rates varied based on the fiber type and processing circumstances. When being carded, various fibers displayed distinctive behaviors that necessitated adjusting the operating settings in order to provide the necessary quality results. The study also determined the crucial speed ratios between the licker-in and flat speeds that reduced fiber breakage and increased the caliber of the finished goods. The results of this study offer useful information for textile producers and process engineers to improve the quality of carded sliver and yarn while maximizing the performance of carding machines. Operators may choose machine settings and parameter adjustments wisely by knowing the impacts of licker-in and flat speeds, which will increase textile industry efficiency, productivity, and product quality.

Spark on Yarn模式的电信大数据处理平台

针对电信大数据处理系统中存在的问题,文章提出一种基于Spark on Yarn模型的SY-TPP。在SY-TPP平台上,应用Hadoop2.0 Yarn标准,并利用Spark分布式存储技术,将SY-TPP系统的数据在内存中进行集中处理。以分级聚类算法为案例,对SY-TPP平台的开发过程进行了详细的分析。实验结果表明,TPP平台上的GB级用户可以在半个工作日内完成数据处理,而32个实体节点的SYTPP系统的速度比相同配置下的Map Reduce平台提高了10.25倍。

灰竹炭纤维/大麻纤维/Coolplus纤维/棉精梳混纺柔洁纱的可纺性研究与生产实践

本文结合生产实践,通过设备改造和半制品及纱测试,分析和讨论各因素对灰竹炭纤维/大麻纤维/Coolplus纤维/棉精梳混纺柔洁纱质量的影响,研究前纺工序和细纱工序通过优化工艺参数、采用新型纺纱专件、合理控制车间的温湿度等,明显地提高了灰竹炭纤维/大麻纤维/Coolplus纤维/棉精梳混纺柔洁纱质量。

基于自适应Loess的纱线张力信号处理方法

为保持针织系统中纱线张力的稳定并解决纱线张力检测过程中的噪声干扰问题,提出了一种基于自适应Loess的纱线张力信号优化方法。通过信号特征分析,将纱线张力结果划分为周期性信号、奇异点信号、高频干扰信号和低频耦合干扰信号。为消除这些干扰信号,提出了相应的数据处理方法:限幅滤波去除奇异点信号、低通滤波消除高频干扰信号以及改进的Loess方法去除低频耦合干扰信号。在3种不同情况的张力信号上验证了该方法的可靠性。实验结果显示,自适应Loess算法能有效平滑张力波动,提升信噪比分别达25.014%、27.661%、25.276%,证明了该方法在不同情况下的有效性和稳定性,为针织系统中纱线张力的稳定性和生产效率的提升提供了可行的解决方案。

纱线条干均匀度检测技术的研究进展

纱线条干均匀度是评估纱线质量和质地的重要指标,对纺织品质量、性能以及加工工艺有着重要影响,因此准确快速地测定条干均匀度在纺织工业中具有重要意义。通过回顾国内外相关文献,综合讨论了电容式、光电式和图像处理3种条干均匀度检测技术,并对各自的研究进展进行了详细阐述。重点讨论了条干均匀度检测技术的准确度、评价指标和技术要领等,分析了影响条干均匀度检测技术发展的相关因素,并从理论依据、研究方法和应用评价等角度讨论了条干均匀度检测技术目前存在的问题,为纺织工业中的条干均匀度检测提供一定参考,从而促进纺织行业的工业生产和技术进步。

基于负离子纤维的喷毛带子纱产品开发

以涤纶负离子中长纤为原料,经过和毛、梳理、并条、粗纱工序后制成粗纱条,在花色喷毛机上喂入到由涤纶长丝编织的带子纱中,通过改变花色喷毛机的工艺参数制成三种不同细度的负离子喷毛带子纱,织成样片后进行负离子发生量的测试和评价。结果表明,三种规格的喷毛带子纱负离子发生量皆大于1 000个/cm^(3),负离子发生量较高,能达到维持人体基本健康需求、增强免疫力的效果。纺纱试验表明,当粗纱喂入罗拉的速度控制在20 r/min~25 r/min,纱线细度控制在3 NM~3.3 NM时,所纺纱线的负离子发生量维持在最高水平。产品利用喷毛带子纱蓬松的纱线结构,使负离子纤维能更好地释放出负离子,发挥保健功效。

黏胶短纤纱锦纶长丝曲珠复合纱工艺设计与试纺

文章以有光锦纶长丝、转杯纺黏胶短纤纱为原料,选用YH116A包覆机试纺微弹黏胶/锦纶曲珠复合纱,探讨了包覆纺纱工艺参数对成纱性能的影响。经测试对比分析,发现以19.7tex黏胶短纤纱为芯纱、采用锦纶曲珠双包、上排捻度为610捻/m、下排捻度为640捻/m的复合纱的综合性能达到最优,成纱质量最好。

喷气涡流纺莱赛尔/涤纶包芯纱的开发

为丰富喷气涡流纺纱线产品种类,文章以莱赛尔为外包纤维、涤纶DTY网络丝为芯纱,探讨了喷气涡流纺包芯纱的生产及纺纱工艺设计的重点与难点,成功开发出18.5 tex喷气涡流纺莱赛尔/涤纶包芯纱。研究表明,针对莱赛尔短纤维的特性,梳棉工序应增强梳理并提高转移效率,并条工序应提升纤维伸直平行度;喷气涡流纺工序应科学选择喂入比,正确调整芯丝喂入张力等工艺参数,合理控制喷嘴压力,加强温湿度管理。相关生产实践为开发高附加值喷气涡流纺纱线产品提供了参考。

基于YARN集群的计算加速部件扩展支持

以GPU和Intel MIC为代表的计算加速部件已在科学计算、图形图像处理等领域得到了广泛的应用,其在基于云平台的高性能计算及大数据处理等方向也具有广泛的应用前景.YARN是新一代Hadoop分布式计算框架,其对计算资源的分配调度主要针对CPU,缺少对计算加速部件的支持.在YARN中添加计算加速部件需要解决多个难点,分别是计算加速部件资源如何调度以及异构节点间如何共享问题、多个任务同时调用计算加速部件而引起的资源争用问题和集群中对计算加速部件的状态监控与管理问题.为了解决这些问题,提出了动态节点捆绑策略、流水线式的计算加速部件任务调度等,实现了YARN对计算加速部件的支持,并通过实验验证了其有效性.

多级牵伸和热定型过程中涤纶工业丝的结构与性能演变

为解析高强涤纶工业丝生产上多级牵伸和热定型过程中纤维的聚集态结构与性能演变,分段采集纤维样品,利用DSC、DMA、WAXD和SAXS等分析方法,系统研究纤维在不同成型阶段的热学、结晶、取向、片晶和长周期结构等聚集态结构,并将纤维力学性能的变化与纤维结构进行关联分析。结果表明:一级热牵伸促进了非晶区分子链取向结晶,使得纤维的断裂强度提升而热收缩率降低;二级热牵伸进一步提升了非晶分子链取向度,促使晶粒重组并形成刚性非晶部分(Rigid amorphous fraction,RAF),结晶度明显升高,纤维的断裂强度显著提升而收缩率显著降低;在随后的两级松弛热定型阶段,非晶区分子链活动能力较强,易于砌入晶格,进一步促使结晶度提高、RAF的增大,同时局部发生解取向,导致纤维断裂强度和收缩率随非晶区分子链解取向程度的增加不断减小。该研究分析了纤维的结晶结构和取向,阐明了涤纶工业丝聚集态结构与力学性能在纺丝后加工过程中的演变规律,可为产业用涤纶工业丝的性能调控和新产品的开发提供参考。

加弹工艺对机织物性能的影响

为了提升涤纶的可纺性,减少毛丝,以巴马格FK6-1000型加弹机工艺为例,通过改变特定工艺参数、机器配件,详细探讨加弹生产工艺过程中加工速度、D/Y等条件对织物的影响。通过对比发现,加工速度增加时染色性能先提升后下降,毛丝随之增多;D/Y提升,加工张力降低,毛丝减少,利于织造,但继续增大则不利于稳定生产;同时为了方便织造,保持织物稳定性,需选择适当的网络气压与合适的网络喷嘴;摩擦盘的组合与材质对于织造也有一定影响。因此,选择适合的工艺参数、机器配件,在一定程度上可以提升纤维的可纺性。

HMLS涤纶工业丝生产工艺探讨

以特性黏数为1.12~1.14 dL/g的大有光增黏聚对苯二甲酸乙二醇酯(PET)切片为原料,采用日本TMT公司纺丝设备生产1670 dtex/480 f高模低缩型(HMLS)涤纶工业丝,探讨了原料PET切片的特性黏数、螺杆温度、无风区高度、冷却工艺、拉伸工艺对HMLS涤纶工业丝性能的影响。结果表明:控制PET切片特性黏数在1.12~1.14 dL/g时,可确保无油丝特性黏数在0.95~0.97 dL/g;生产HMLS涤纶工业丝时,选择微孔环形分布的喷丝板,合适的螺杆温度为280~290℃,无风区高度为50 mm,采用低温冷却工艺可确保丝束能承受高的卷绕速度和较大的拉伸力;与低温冷却高温拉伸工艺相比,采用低温冷却低温拉伸工艺生产的HMLS涤纶工业丝的断裂强度略高,断裂伸长率较低,且浸胶后帘子线强力保持率高,但毛丝率要明显高于低温冷却高温拉伸工艺。

腈纶纱线染色工艺与机理探究

使用日本化药红GRL-ED、黄3RL-ED、蓝GSL-ED 3只染料对腈纶纱线进行染色,利用单因素试验研究了染液pH、染色温度、浴比对腈纶纱线染色K/S值的影响,并分析其上染速率曲线、染色提升力和耐皂洗色牢度情况。结果表明:当染液pH为5、染色温度为98℃、浴比为1∶10时腈纶纱线染色的K/S值最大,上染效果最好。最优工艺条件下3只染料染色后的腈纶纱线均具有优异的耐皂洗色牢度。3只染料上染腈纶纱线的上染速率曲线和提升力曲线变化趋势相近,配伍性较好,可用于拼色染色。

涤纶预取向丝卷绕成型的工艺探讨

探讨了卷绕设备和生产工艺对涤纶预取向丝卷绕成型的影响。在设备方面,卷绕机中的横动装置是影响卷绕成型的关键部件;为保证成型质量,拨叉和成型板要定期校验。在生产工艺方面,接触压力随丝饼直径的增加而增大,卷绕角随丝饼直径的增大而先增大后减小;另外,需要根据品种和成型质量,适当调整卷绕张力和干扰波,当卷绕张力为16 cN、干扰波中振幅为1.5%、频率为10 r/min时,生产的278 dtex/288 f涤纶预取向丝的成型质量最佳。

注意力残差块引导的师生网络色织物缺陷检测算法

针对传统色织物缺陷检测重构模型存在难以保证缺陷区域的重构效果、漏检和误检率偏高等问题,提出一种注意力残差块引导的无监督师生网络色织物缺陷检测算法;从知识蒸馏角度出发,基于Wide_Resnet50_2网络设计一种具有编码-解码结构的教师-学生模型,学生网络通过恢复经过预训练的教师网络的多尺度特征增强重构能力;提出一种融合双重注意力的残差模块DARM,对特征信息进行双重权重分配的方式可以去除教师网络输出的冗余信息,进一步扩大师生网络之间对于缺陷区域的表征差异,提升模型的缺陷检测与定位能力;实验结果表明,提出的算法在YDFID-1数据集上AUPRO达到了85.8%、像素级AUROC和图像级AUROC分别达到了96.3%和98.3%;在少样本条件设置下,提出的算法在MVTec数据集上AUPRO和AUROC下降不超过4.5%,实验结果验证了该算法处理色织物缺陷检测问题的有效性以及稳定性。