Abstract
Based on the intercalating melt-blown non-woven material performance control principle, through the single factor analysis of variance, two-factor variance analysis and typical correlation analysis, partial least-squares regression model is established, a multi-objective optimization model, structure parameters and performance parameters of the respectively as sample, using the typical correlation analysis between the two sample data, the paper analyses the inner link, The results show that product thickness has a strong positive correlation with filtration resistance.Then the Pearson correlation coefficients between structural variables and product performance were calculated respectively, and the correlation size was judged by the value of the correlation coefficient. It was concluded that the product thickness and porosity had a strong positive correlation.Finally to filter products of the highest efficiency as objective function and combined with multiple constraints, single objective optimization model is set up, using simulated annealing algorithm to optimization, then the product of the highest filter efficiency and minimum drag as the objective function, combination of conditions such as receiving distance and speed of hot air to multi-objective optimization model is established.Then, according to the priority order of constraints, the multi-objective optimization problem is transformed into two single-objective optimization problems, and the rationality of the results is tested according to the factors such as the initial gas flow rate and the number of superimposed layers. It is concluded that the filtration efficiency and filtration resistance solved in this paper are the optimal solutions.
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