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.

目前的工作研究了在垫干固化方法下开发超疏油棉织物的多响应优化。漂白的棉织物用掺有拒油和拒水整理剂（OleophobolCP-C®）的ZnO纳米颗粒（NPs）处理，以赋予其抗菌活性，紫外线防护和超强的油性/疏水性。使用基于Taguchi的模糊逻辑和灰色关联分析技术来获得输入参数的同时最佳设置，包括ZnO NP的浓度，O-CPC®表面处理剂和KnittexFEL®以及用于多种响应的固化温度。在实验数据上采用模糊逻辑和灰色关联分析来确定重要的过程参数，以优化多重响应。本套技术有效地用于开发超疏水（WCA：162°）和疏油（OCA：140°）棉织物以及相应的纺织品性能，如文中所述。由于具有抗菌，自洁，不沾污和防紫外线的特性，因此这种发达的织物在各种家用和家用应用中具有潜在的用途。