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Multiple regression analysis of a woven fabric sound absorber
- Source :
- Textile Research Journal. 89:855-866
- Publication Year :
- 2018
- Publisher :
- SAGE Publications, 2018.
-
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.
- Subjects :
- 010302 applied physics
Materials science
Polymers and Plastics
Correlation coefficient
Perforation (oil well)
Regression analysis
02 engineering and technology
Acoustic absorption
021001 nanoscience & nanotechnology
01 natural sciences
Air permeability specific surface
Woven fabric
0103 physical sciences
Linear regression
Chemical Engineering (miscellaneous)
Composite material
Sound Absorber
0210 nano-technology
Subjects
Details
- ISSN :
- 17467748 and 00405175
- Volume :
- 89
- Database :
- OpenAIRE
- Journal :
- Textile Research Journal
- Accession number :
- edsair.doi...........7c120ec8065d6ace8f96cce09ff83c60