Research on property control of intercalated melt-blown nonwoven materials based on correlation analysis and neural network model

Abstract

Intercalated melt-blown nonwovens can solve the poor compression resilience caused by melt-blown nonwovens fibers, which is helpful to improve the performance of products, so it is of great significance to study the performance control of intercalated melt-blown nonwovens. In this paper, correlation analysis, BP neural network model and canonical correlation analysis model were constructed to analyze the changes of product performance before and after intercution. Finally, the optimal production process parameters were determined as the acceptance distance of 22.98 cm and the hot air speed of 1790 r/min through the construction of the model, which provided a certain theoretical basis for the product performance control mechanism.