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distribution; correlation fractal dimension. Abstract: In this paper, samples are first designed and made based on the orthogonal experiment law. Afterward, image gray processing and image binarization processing are performed on the electrospun nanofibres non-woven fabrics image that is captured by the electron microscope through digital picture processing technique, and then is refined with fiber structure through the image thinning algorithm and the diameter distribution of the simple can be obtained through calculating the average diameter of the fabric distributed in various position. Subsequently, the mathematical treatment is performed to the sample's diameter distribution. G-P algorithm is used to calculate the correlation fractal dimension of the diameter distribution. After acquired with fractal dimension, the mapping relation between the fractal dimension and physical properties of filtration efficiency can be verified through the analysis of numerical relation between the fractal feature of electrospun nanofiber nonwoven fabric and the properties of filtration efficiency, which furthermore provides another scale to the evaluation of the electrostatic spinning nano fiber non-woven cloth.

Study on the fractal dimension of the diameter distribution of electrospun nanofibres non-woven fabrics and the relationship between it and with filtration efficiency