Prediction of Color Properties of Cellulase-Treated 100% Cotton Denim Fabric. (19th March 2013)

• Record Type: Journal Article
• Authors: Kan, C. W.; Wong, W. Y.; Song, L. J.; Law, M. C.
• Other Names: Militky Jiri Academic Editor.
• Is Part Of: Journal of textiles. Volume 2013(2013)
• Publication Date: 2013-03-19
• Subjects: Textile fabrics -- Periodicals; Textile fabrics; Periodicals; Electronic journals; 677
• DOI: 10.1155/2013/962751
• Languages: English
• ISSNs: 2356-7678

Abstract

Abstract : Artificial neural network (ANN) model was used for predicting colour properties of 100% cotton denim fabrics, including colour yield (in terms of K/S value) and CIE L*, a*, b*, C *, andh ° values, under the influence of cellulase treatment with various combinations of cellulase processing parameters. Variables examined in the ANN model included treatment temperature, treatment time, pH, mechanical agitation, and fabric yarn twist level. The ANN model was compared with a linear regression model where the ANN model produced superior results in the prediction of colour properties of cellulase-treated 100% cotton denim fabrics. The relative importance of the examined factors influencing colour properties was also investigated. The analysis revealed that cellulase treatment processing parameters played an important role in affecting the colour properties of the treated 100% denim cotton fabrics.