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Application of One-quarter Fractional and Full Factorial Design to Study Set Mark Phenomenon of Multifilament Polyester Fabrics

机译:四分之一分数和全因子设计在研究复丝涤纶织物结点现象中的应用

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摘要

Set marks are fabric defects in weft direction which are caused by an interruption of the weaving process. In this study, based on one-quarter fractional factorial design, among eight parameters of weaving machine, i.e. horizontal and vertical position of back rest roller, horizontal position of warp stop motion, shed crossing degree, shed crossing point position, warp tension, stoppage position of machine, and stoppage time, four most effective parameters was determined. These parameters were stoppage position of machine, vertical position of back rest roller, shed crossing point, and horizontal position of warp stop motion. Then using Ml factorial design effectiveness of these parameters was evaluated statistically at 99 % confidence level and effect of them on set mark studied in detail. Statistical evaluations showed that the stoppage position of machine was the most effective parameters on intensity of set mark of multifilament polyester fabric. A specific image capturing device for using on weaving machine based on CCD camera was designed. Image processing technique was used to measure the pickspacing in stop zone objectively. Five picks before and five picks after stoppage was considered as stop zone and the standard deviation of pickspacing was used as a criterion which interpret this defect. Dynamic loading of warp yarns were execute to evaluate the relaxation behavior of polyester multifilament warp yarns.
机译:固定标记是纬纱方向上的织物缺陷,是由织造过程中断引起的。本研究基于四分之一分数阶乘设计,在织机的八个参数中,即靠背罗拉的水平和垂直位置,经纱停止运动的水平位置,梭道交叉程度,梭道交叉点位置,经纱张力,停止确定了机器的位置和停机时间,确定了四个最有效的参数。这些参数是机器的停止位置,靠背辊的垂直位置,梭口交叉点和经纱停止运动的水平位置。然后,使用M1阶乘设计,以99%的置信度对这些参数的有效性进行统计学评估,并详细研究了它们对设定标记的影响。统计评估表明,机器的停工位置是复丝涤纶织物设定记号强度的最有效参数。设计了一种基于CCD相机的织机专用图像采集装置。图像处理技术被用来客观地测量停止区域中的拾取间距。停工前的五个镐和停工后的五个镐被认为是停工区,镐间距的标准偏差被用作解释该缺陷的标准。对经纱进行动态加载以评估聚酯复丝经纱的松弛行为。

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