Predicting the Fiber Diameter of Melt Blowing through BP Neural Network and Mathematical Models

摘要

Artificial neural network (ANN) model and mathematical method of the air drawing model are established and utilized for predicting the fiber diameter of melt blowing nonwovens from the processing parameters. A mathematical method provides a useful insight into the process parameters and fibber diameter. By analyzing the results of the mathematical model, the effects of process parameters on fiber diameter of melt blowing nonwovens can be predicted. A artificial neural network model provides quantitative predictions of fiber diameter. The results reveal that the ANN model produces a very accurate prediction.