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https://doi.org/10.1007/978-1-4419-0052-4_11

has been cited by the following article:

• TITLE: Parameter Optimization of Intercalated Meltblown Nonwovens Based on NSGA-II

  AUTHORS: Peiyuan Jin, Renjie Chu, Quanxi Feng

  KEYWORDS: Regression Model, NSGA-II Algorithm, Meltblown Nonwovens, Parameter Optimization

  JOURNAL NAME: Journal of Computer and Communications, Vol.11 No.3, March 31, 2023

  ABSTRACT: The preparation process parameters of intercalated meltblown nonwoven materials are complicated, and the relationship between process parameters, structural variables, and product performance needs to be investigated to establish a good mechanism for product performance regulation. In this study, we first used Wilcoxon test and Pearson correlation analysis to investigate the effect of intercalation rate on structural variables and product performance. Then, regression models were constructed to predict the values of each structural variable under different combinations of process parameters. Finally, we constructed a multi-objective constrained optimization problem based on the stepwise regression model and the product variable conditions. The problem was solved using the NSGA-II algorithm. The optimal was achieved when the acceptance distance was 2.892 cm and the hot air speed was 2000 r/min.