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Open AccessArticle

Multi-Response Optimization of Resin Finishing by Using a Taguchi-Based Grey Relational Analysis

Hubei Provincial Engineering Laboratory for Clean Production and High Value Utilization of Bio-Based Textile Materials, Wuhan Textile University, Wuhan 430073, China
Department of Textile Processing, National Textile University, Faisalabad 37610, Pakistan
Author to whom correspondence should be addressed.
Materials 2018, 11(3), 426;
Received: 17 January 2018 / Revised: 7 March 2018 / Accepted: 7 March 2018 / Published: 15 March 2018
In this study, the influence and optimization of the factors of a non-formaldehyde resin finishing process on cotton fabric using a Taguchi-based grey relational analysis were experimentally investigated. An L27 orthogonal array was selected for five parameters and three levels by applying Taguchi’s design of experiments. The Taguchi technique was coupled with a grey relational analysis to obtain a grey relational grade for evaluating multiple responses, i.e., crease recovery angle (CRA), tearing strength (TE), and whiteness index (WI). The optimum parameters (values) for resin finishing were the resin concentration (80 g·L−1), the polyethylene softener (40 g·L−1), the catalyst (25 g·L−1), the curing temperature (140 °C), and the curing time (2 min). The goodness-of-fit of the data was validated by an analysis of variance (ANOVA). The optimized sample was characterized by Fourier-transform infrared (FTIR) spectroscopy, thermogravimetric analysis (TGA), and scanning electron microscope (SEM) to better understand the structural details of the resin finishing process. The results showed an improved thermal stability and confirmed the presence of well deposited of resin on the optimized fabric surface. View Full-Text
Keywords: resin finishing; multi-response; Taguchi-grey; orthogonal array; ANOVA resin finishing; multi-response; Taguchi-grey; orthogonal array; ANOVA
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Pervez, M.N.; Shafiq, F.; Sarwar, Z.; Jilani, M.M.; Cai, Y. Multi-Response Optimization of Resin Finishing by Using a Taguchi-Based Grey Relational Analysis. Materials 2018, 11, 426.

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