利用逐步回归分析建立机织滤布透气性的预测模型  

Establish Forecast Model on Air Permeability of Fabric by Gradual Regression

作　　者：于华[1] 汪德璜[1] 于吉震[1] 李晓君 

机构地区：[1]大连轻工业学院

出　　处：《纺织学报》1997年第2期60-62,共3页Journal of Textile Research

摘　　要：要使滤布有很好的过滤性能,就必须具有良好的透通性,即透气性、透水性及渗透性。本文主要研究了织物的密度、组织、厚度、织物每平方米重量及纱线捻度等因素与织物透气量的相关关系。并利用逐步回归分析方法建立机织滤布透气性的多项式回归方程为机织物过滤材料的设计和试织提供了理论依据。To give better filtration properties to filtration fabric,a penetrating ability should be achieved included air permeability .water permeability and penetrating property. This paper mainly discusses the correlation between density .structure,thickness,weight per square meter,twist and air permeability Multionminal regression equation was established by way of gradual regression on air permeability of fabric which provides theoretical grounds for design and trial weaving of machine woven filtration fabrics.

关 键 词：滤布 透气性 预测模型 逐步回归分析 

分 类 号：TS106.62[轻工技术与工程—纺织工程]