Abstract

Porosity of fibrous networks plays an important role in many processes, especially in filtration and separation applications. The paper aims to statistically analyze characteristics of porosity for random fibrous networks employing analytical and numerical approaches. An analytical model evaluating the number of pores related to microstructural parameters (e.g. fiber diameter) is proposed and validated with a numerical approach. An image processing of numerically generated fibrous networks was first performed to reveal pore-size distributions and then to calculate the number of pores with high accuracy. Additionally, analyses on orientation and crimp of fibers indicate that as more fibers are aligned in a principal direction, the number of pores decreases, and this induces the increase in the average pore size. The investigations also demonstrate that crimp does not affect pore characteristics in random distributions considerably; however, the number of pores decreases with fiber crimp as alignment increases.

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