DEVELOPMENT OF DYEING TECHNOLOGY AND CREATION OF A BASIC TECHNOLOGICAL SCHEME FOR THE PROCESS OF REUSING CONCENTRATED WASTEWATER (ON THE EXAMPLE, REDUCING THE CONSUMPTION OF DIRECT YELLOW LIGHTFAST DYE K)

Authors

DOI:

https://doi.org/10.15421/jchemtech.v32i4.309831

Keywords:

dyeing and finishing production, concentrated wastewater, reuse, resource-saving technology, direct dyes, coarse calico, viscose, schematic diagram

Abstract

The development of wastewater reuse technology in fabric dyeing is a topical issue. This will minimise the use of water and expensive dyes, reduce the cost of finished products and the environmental impact. Concentrated wastewater from batch dyeing equipment contains up to 50% of textile dyes, so it can be reused as a secondary material resource in fabric dyeing technology. Рresents the results of studies of the efficiency of dyeing cotton fabrics with Direct Yellow Lightfast K dye with the reuse of concentrated wastewater: dye intensity 95–96 % compared to the standard (100 %), colour difference between the reference and test samples DE < 2, the lightness and shade indicators samples have a difference of ± 2, qualitative indicators of colour fastness are 34 points according to the «Grey Standard Scale. This results prove the effectiveness of dyeing cotton fabrics with Direct Yellow Lightfast K dye with the reuse of concentrated wastewater. A schematic diagram of cotton fabric dyeing technology was created. A technology for dyeing fabrics with the reuse of concentrated wastewater in the process of dyeing fabrics with direct dyes has been developed, with an average of 11 % savings in direct dye consumption per 1200 m of fabric. The dyeing according to this scheme has been tested at Private Joint Stock Company Cherkasy Silk Plant (Cherkasy, Ukraine). The spectrophotometric method was used in the course of the work; the durability of the staining was determined in accordance with the current state standards of Ukraine and international ISO standards; the Python programming language, Mathplotlib and Seaborn visualisation libraries were used to visualise the experimental data.

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Published

2025-01-23