Research on Performance Control of Intercalated Melt-blown Nonwoven Materials

Abstract

This paper focuses on enhancing the performance of intercalated melt-blown nonwoven materials through performance control. The study explores whether the structural variables (thickness, porosity, and compression resilience ratio) and performance indicators (filtration resistance and efficiency) of intercalated products undergo significant changes, using analysis of variance (ANOVA). The experimental results indicate that intercalation significantly alters the product’s thickness, porosity, compression resilience ratio, and filtration efficiency. The study also establishes a decision tree regression model between process parameters (acceptable distance and hot air velocity) and structural variables, and a K-nearest neighbor regression model between structural variables and product performance indicators to investigate the relationship between process parameters and product performance during intercalation. Finally, the study determines the optimal performance indicators by controlling process parameters using the simulated annealing algorithm.