Prediction of the thickness loss and recovery of cut-pile carpets imposed to UV exposure and wear using polynomial regression method. Issue 9 (2nd September 2018)

• Record Type: Journal Article
• Authors: Jafari, Sahar; Ghane, Mohammad; Abghary, Mohammad Javad
• Is Part Of: Journal of the Textile Institute. Volume 109:Issue 9(2018)
• Page Start: 1168
• Page End: 1172
• Publication Date: 2018-09-02
• Subjects: Cut-pile carpet -- UV exposure -- wear -- static loading -- thickness loss -- polynomial regression; Textile industry -- Periodicals; Textile fabrics -- Periodicals; Periodicals; 677.005
• DOI: 10.1080/00405000.2017.1419417
• Languages: English
• ISSNs: 0040-5000

Abstract

Abstract: Ultraviolet radiation which exists in environment around can be regarded as a major source of textile materials. In this study, the effect of UV exposure on the cut-pile carpet was investigated. A UV chamber was used to expose different levels of accelerated UV radiation on the samples of the machine-woven pile carpet. Wear test were then carried out on all samples using a Hexapod tumbler machine. The short-term static loading was applied to the carpets and the thickness loss percent (TL) and recovery percent (RP) of the samples at different times after load removal was measured using standard methods. Factorial experimental design and response surface method were applied for to create polynomial regression models and predict each of the thickness loss and recovery percent of carpet samples. The model is capable to determine the contribution of different variables. The results of the modeling revealed a desirable fit. The adjusted R 2 values were also high and significant. The ANOVA test indicated that the presented models were valid at 5% significant level.