Study On Fractal Properties And Production Process Design Of Micro - Nanofiber Nonwovens

According to relevant research results, for the distribution of micro nano-static spinning nonwovens, due to their thin and fine characteristics, fiber diameter and diameter have a great influence on the physical properties of nonwovens. In addition, the fiber density of the micro-and nano-electrospinning nonwovens is also an important factor affecting the performance of nonwovens. The fiber distribution and diameter distribution of the fiber are studied. The physical properties of nonwovens are studied by using the fractal theory, neural network, Matlab, VC++and software related.This paper firstly designs fifty different parameters of the manufacturing of micro-nano electrospinning non-woven fabrics in an orthogonal experiment and makes fifty samples in accordance with the corresponding parameters. The experiment materials-- polyvinyl akohol (PVA) is used to make samples by DXES-01 automatic electrospinning machine. TM-1000 desktop scanning electron microscope gains the electrospinning nanofibers’pictures and gets the bmp pictures of samples; the pictures of electrospinning non-woven fabrics photographed by electron microscope are conducted image gray processing, image histogram enhancing, image binaryzation and image denoising processing. Afterwards, the number of fibers passing each position is calculated by using image thinning algorithm to thin the structure of fibers and using rotary intersection to calculate the diameters of each fiber in the image and scanning; the data obtained are processed and G-P algorithm calculates the spatial distribution and the fractal dimensions of fiber diameter distribution; After the fractal dimensions are calculated, the mapping relations between the fractal dimensions of electrospinning non-woven fabrics and resistance, filtering efficiency are analyzed; finally, the function between each parameter and resistance, filtering efficiency is derived from neural network, based on which the optimum results taking account of both resistance and filtering efficiency are gained.