Test and analysis of the porosity of cotton fiber assembly

Porosity is one of the most important properties textile materials that ensures their comfort and usability. The internal pore structure cotton fiber assembly complex changeable, surface difficult to explain its structure. It intended develop a method predict morphology assembly. Pore image multi-layer collected by photography instrument, used Image Pro Plus 6.0 software analyze, obtained white area indicators which can be applied describe void space Using multiple linear regression analysis method, equation index porosity established. results indicate largely explained three namely ε, mean length between adjacent contacts B tortuosity coefficient. Appropriate equations formulated for aid in predicting texture. Comparing data indicators, it found coefficient τ, air permeability q have good correlation.