To read this content please select one of the options below:

Toward improved performance of reactive dyeing on cotton fabric using process sensitivity analysis

Ping Zhang (Hubei Provincial Engineering Laboratory for Clean Production and High-Value Utilization of Bio-based Textile Materials, Wuhan Textile University, Wuhan, China)
Wenju Zhu (Hubei Provincial Engineering Laboratory for Clean Production and High-Value Utilization of Bio-based Textile Materials, Wuhan Textile University, Wuhan, China)
Md. Yousuf Hossain (Hubei Provincial Engineering Laboratory for Clean Production and High-Value Utilization of Bio-based Textile Materials, Wuhan Textile University, Wuhan, China)
Shamima Sarker (College of Material Science and Engineering, Donghua University, Shanghai, China)
Md. Nahid Pervez (Sanitary Environmental Engineering Division, University of Salerno, Fisciano, Italy)
Md. Ibrahim H. Mondal (Department of Applied Chemistry and Chemical Engineering, University of Rajshahi, Rajshahi, Bangladesh)
Chao Yan (Hubei Provincial Engineering Laboratory for Clean Production and High-Value Utilization of Bio-based Textile Materials, Wuhan Textile University, Wuhan, China)
Yingjie Cai (Hubei Provincial Engineering Laboratory for Clean Production and High-Value Utilization of Bio-based Textile Materials, Wuhan Textile University, Wuhan, China)
Vincenzo Naddeo (Sanitary Environmental Engineering Division, University of Salerno, Fisciano, Italy)

International Journal of Clothing Science and Technology

ISSN: 0955-6222

Article publication date: 2 February 2022

Issue publication date: 27 June 2022

253

Abstract

Purpose

The conventional textile dyeing process requires various operational characteristics, and determining the most reliable factor in dyeing performance has always been a challenge for the textile industry. Thus, the present paper aimed to evaluate the process sensitivity of C. I. Reactive Blue 194 dyeing of cotton fabric using a statistical technique.

Design/methodology/approach

An L27 orthogonal array-based Taguchi's methodology was used with six parameters and three levels of each parameter. The signal-to-noise (S/N) ratio and analysis of variance were studied using total fixation efficiency (T%) as the response of the process sensitivity.

Findings

Results showed that dyebath pH was the most influential factor on the process and total fixation efficiency (p-value = 0.00 and contribution percentage 45.03%), followed by dye-fixing temperature, dye mass, electrolyte concentration, dye-fixing time and material to liquor ratio.

Originality/value

Overall this study provides a foundation for the determination of dyeing process sensitivity that will be useful in textile industries toward further development.

Keywords

Acknowledgements

This work was financially supported by the China National Textile and Apparel Council (2013 “Textile Vision” Applied Basic Research, 2013–153).

Citation

Zhang, P., Zhu, W., Hossain, M.Y., Sarker, S., Pervez, M.N., Mondal, M.I.H., Yan, C., Cai, Y. and Naddeo, V. (2022), "Toward improved performance of reactive dyeing on cotton fabric using process sensitivity analysis", International Journal of Clothing Science and Technology, Vol. 34 No. 4, pp. 469-484. https://doi.org/10.1108/IJCST-03-2021-0035

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

Related articles