Pervez Md Nahid, Shafiq Faizan, Sarwar Zahid, Jilani Muhammad Munib, Cai Yingjie
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.
Materials (Basel). 2018 Mar 15;11(3):426. doi: 10.3390/ma11030426.
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 L 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), the polyethylene softener (40 g·L), the catalyst (25 g·L), 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.
在本研究中，通过基于田口方法的灰色关联分析，对棉织物无甲醛树脂整理工艺因素的影响及优化进行了实验研究。运用田口实验设计方法，针对五个参数和三个水平选择了一个L正交阵列。将田口技术与灰色关联分析相结合，以获得用于评估多个响应的灰色关联度，即折皱回复角（CRA）、撕破强力（TE）和白度指数（WI）。树脂整理的最佳参数（值）为树脂浓度（80 g·L）、聚乙烯柔软剂（40 g·L）、催化剂（25 g·L）、焙烘温度（140 °C）和焙烘时间（2分钟）。通过方差分析（ANOVA）验证了数据的拟合优度。采用傅里叶变换红外（FTIR）光谱、热重分析（TGA）和扫描电子显微镜（SEM）对优化后的样品进行表征，以更好地了解树脂整理工艺的结构细节。结果表明热稳定性有所提高，并证实优化后的织物表面有良好的树脂沉积。
