摘要
为了研究织物结构参数与精纺面料抗皱性能的关系,在确定影响织物折皱回复性能的各个结构参数的基础上,应用动态回复角测试仪对21种精纺面料进行折皱回复角测试。为避免多元回归分析出现多重共线性问题,利用主成分分析方法对织物多个基本结构参数进行降维处理,得到4个互相独立的主成分。以主成分为自变量,分别取经向折皱回复角、纬向折皱回复角以及经纬向折皱回复角之和为因变量,采用回归分析的方法建立抗皱性与提取主成分的关系模型。结果表明:建立的主成分与折皱回复角之间的回归方程,达到非常显著的水平,对抗皱性能进行预测是可行的。通过主成分分析可知,主成分Z_1,Z_2,Z_4是决定精纺面料抗皱性的主要因素。
In order to study the relationship of structure parameters and wrinkle resistance of the worsted fabrics, the structure parameters having effect on fabric crease recovery were determined first, and then wrinkle recovery angle of 21 kinds of worsted fabrics was tested by dynamic recovery angle tester. Principal component analysis was used for dimensionality reduction on fabric structure parameters to avoid multiple colinear problems in multiple regression analysis, and four independent principal components were got. The model of structural parameters and extracted principal components was built with principal components as variables, the wrinkle recovery angle on warp and weft direction, respectively, and the sum of angle on these two direction as the dependent variables. It was found that the model was feasible to predict the wrinkle resistance performance. Based on the principal component analysis, it was found that the important factors of affecting ~nkle resistance of worsted fabric were principal components Z1 , Z2, and Z4.
作者
黄三娇
王鸿博
HUANG Sanjiao WANG Hongbo(Key Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University,Wuxi 214122, China)
出处
《服装学报》
CAS
2016年第4期352-357,共6页
Journal of Clothing Research
基金
江苏省高校优势学科建设工程项目(PAPD)
江苏省先进纺织工程技术中心项目(XJFZ/2015/1)
关键词
精毛纺面料
织物结构参数
抗皱性能
主成分分析
回归分析
worsted fabric, fabric structural parameters, wrinkle recovery angle, principal component analysis,regression analysis
