丙纶磁性纤维仿毛织物舒适性的多元回归分析及混纺比优化  

Multiple regression analysis on comfort property of PP magnetic fiber wool-like fabrics and blended ratio optimization

作　　者：王玉新[1] 荆妙蕾[1] 闫妍[1] 周余杏[1] 郑翠娟[1] 

机构地区：[1]天津工业大学纺织学部,天津300387

出　　处：《毛纺科技》2013年第2期15-18,共4页Wool Textile Journal

基　　金：天津市高等学校科技发展基金计划项目(项目编号:20090316);天津工业大学大学生创新性实验计划项目(项目编号:10009)

摘　　要：为了研究丙纶磁性纤维混纺织物的混纺比对面料舒适性能的影响,采用丙纶磁性纤维、棉纤维、竹浆纤维进行混纺,设计9种不同混纺比的平纹仿毛织物。测试混纺织物透气性、透湿性和导湿性能指标。基于多元回归分析法建立数学模型,并对数据结果进行评估,进而利用Matlab遗传算法工具箱对混纺织物的混纺比进行优化验证。结果表明:丙纶磁性纤维/棉纤维/竹浆纤维含量为60/10/30时织物舒适性能最优,为多元磁性纤维混纺仿毛织物的产品开发提供了理论依据。In order to study the influence of PP magnetic blended fabric blending ratio and fabric comfort property, the blended yarn is made of PP magnetic fiber, cotton, bamboo pulp fiber, and 9 kinds of plain weave wool-like fabrics of different blending ratio are designed. It tests the air permeability, moisture-penetrability and moisture conductivity. Establish the mathematical model of multiple regression analysis, and evaluating the experimental results. Then the blend ratio of the blended fabric is optimized and validated by Matlab genetic algorithm box. According to results, the comfort performance is more excellent when the blending ratio of PP magnetic/cotton/bamboo pulp fiber is 60/10/30, provides the theoretical basis for designing the multiple magnetic fiber blended fabric.

关 键 词：丙纶磁性纤维 仿毛织物 多元回归分析 Matlab遗传算法 舒适性能 

分 类 号：TS104.53[轻工技术与工程—纺织工程]