| In this paper,the porosity and pore distribution of the electrospun nanofiber membrane are studied by using the neural network and the fractal theory,and the relationship between the pore fractal dimension and the resistance is studied by using the Matlab software.The different process parameters of the 30-group electrospun nanofiber membrane were tested by orthogonal design,and 30 samples were prepared by the experimental raw material polyvinyl alcohol(PVA)on the DXES-01 full-automatic electrospinning machine,and the electrospun nanofiber image was obtained by using the TM-3030 desktop scanning electron microscope,and calculating the porosity and the pore distribution of the electrospun nanofiber membrane by using the Matlab software,comparing the porosity of the electrospun nanofiber membrane measured by a mercury-pressing instrument,the ratio of the experimental value and the calculated value of the porosity is found to be close to the Feigenbaum constant(α＝2.5029078750 957...),the pore distribution sequence is obtained by using the VC++ software and the Matlab software,the fractal dimension number of the pore distribution of the electrospun nanofiber membrane is calculated by the G-P algorithm;after the fractal dimension is obtained,the relationship between the fractal dimension and the resistance is analyzed by using the Matlab software.Finally,the functional relation between the process parameters and the porosity of the electrospinning nanofiber membrane is obtained by using a neural network,and the optimum process conditions for the maximum porosity of the electrospun nanofiber membrane and the influence of various process parameters on the porosity of the nanofiber membrane were analyzed and studied. |
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