Prediction of Fiber Diameter of Melt Blowing Nonwovens Produced by Dual Slot Inset Sharp Die

摘要

In this paper, two modeling approaches (artificial neural network and regression model) are established and used to predict the fiber diameter of melt blowing nonwovens. By analyzing the results of the models, the effects of process parameters on fiber diameter can be predicted. The results demonstrated that the ANN model yields more accurate and stable predictions than regression model, which is an effective and a viable modeling approach for predictors.