基于灰色模型的服装面料缝纫皱缩预测  

Prediction of seam pucker based on grey model

作　　者：李艳梅[1] 张渭源[1] 

机构地区：[1]东华大学服装学院

出　　处：《纺织学报》2008年第6期92-95,100,共5页Journal of Textile Research

基　　金：上海市重点学科基金项目(P1404);上海市教委科技发展基金项目(05NZ10)

摘　　要：对影响缝纫质量的重要指标——缝纫皱缩的预测方法进行探讨。选择16种典型面料,在FAST织物风格实验基础上,运用主成分分析法将面料的各项力学性能指标综合为3个主成分分量。通过缝纫实验,运用主客观方法评价织物缝纫后的外观质量,并借助于灰色模型研究以面料性能主成分分量为相关因素序列的缝纫皱缩预测模型,经检验,模型具有较好的精度。The method that can predict the seam pucker- one of parameters to affect sewing quality is discussed. Sixteen typical fabrics are selected. FAST testing system is used to get some main mechanical properties of these fabrics, out of them three principal components are integrated by means of principal component analysis （PCA）. The seam pucker is evaluated by subjective and objective methods. Grey prediction model of seam pucker is developed on the parameters of principal components, which is valid by test.

关 键 词：面料性能 缝纫皱缩 FAST系统 主成分分析 灰色模型 

分 类 号：TS941.4[轻工技术与工程—服装设计与工程]