Abstract

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

Highlights

  • Fiber materials is an important textile raw materials

  • Amount of void space of fiber assembly is determined in terms of porosity, which is complicated by its arrangement in the structural characterization of the void space

  • With the densification of fiber from the continuous stacking of fiber layers, the white area of image gradually decreases, and the image becomes darker. This image shows that the gradual increase of the cotton fiber web layer leads to the change of through porosity, indicating that the through porosity of the cotton fiber assembly (CFA) gradually decreases from top to bottom

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Summary

Introduction

Fiber materials is an important textile raw materials. Most textile products such as clothing materials and nonwoven can be considered fiber assembly made of fibers and air filling in the pores formed by the fibers. The structural features of a fiber assembly is an important subject for extensive investigation in textile science.[1] There has been many experimental and numerical studies on the properties of random fiber assembly.[2]. Characterization of void space within fiber material may be significant for its mechanical and thermal properties. Amount of void space of fiber assembly is determined in terms of porosity, which is complicated by its arrangement in the structural characterization of the void space. The porosity of fiber assembly is largely dependent on the relative amount and orientation of fiber.[3]

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