Multi-response Optimization in the Development of a Superhydrophobic Cotton Fabric Using ZnO Nanoparticles Mediated Resin Finish under Taguchi Based Grey Relational Analysis and Fuzzy Logics Approaches

Present work investigates multi-response optimization in development of super-oleohydrophobic cotton fabric under pad-dry-cure method. A bleached cotton fabric was treated with ZnO nanoparticles (NPs) incorporated oil and water repellent finish (Oleophobol CP-C®) to impart in it antibacterial activity, UV protection and super oleo/hydrophobicity. Taguchi based fuzzy logics and grey relational analytical techniques were employed to obtain simultaneous optimum settings of input parameters including concentrations of ZnO NPs, O-CPC® finish and Knittex FEL®, and curing temperature for multiple responses. The fuzzy logics and grey relational analysis were employed on the experimental data to determine significant process parameters for optimization of multiple responses. The present set of techniques was effectively used to develop super-hydrophobic (WCA: 162 °) and oleophobic (OCA: 140 °) cotton fabric along with appropriate textile properties as reported in the text. The developed fabric has potential uses in various domestic and house-hold applications due to its antibacterial, self-cleaning, non-staining and UV-protection properties.