Multiple regression analysis of a woven fabric sound absorber

Abstract

In this study, the effects of physical parameters on the acoustic absorption properties of woven fabrics were studied. The acoustic absorption properties of 24 kinds of woven fabrics with different structural parameters were measured and analyzed. Multiple linear regression models have been established to characterize the relationship between acoustic behavior and various physical parameters. It has been found that the acoustic absorption properties were mainly determined by the perforation ratio and air permeability. The decrease in perforation ratio and air permeability results in an increase of acoustic absorption properties of woven fabrics. Furthermore, three woven fabrics were used to validate the proposed multiple regression models. The established models could well predict the acoustic absorption properties of woven fabrics where the correlation coefficient is higher than 0.77 with air gaps of 1, 2, and 3 cm, respectively.