PREDICTION THE DEPTH OF COLOR, OF CATIONISED COTTON FABRIC DYED WITH REACTIVE DYES USING FUZZY LOGIC

Cotton fabrics are commonly dyed using reactive dyes. These dyes typically require substantial amounts of salt or sulphates, which serve to reduce the surface tension between the anionic dyes and the anionic cellulose fiber. This interaction significantly enhances dye bath exhaustion and facilitates the diffusion 0f the dye onto the cotton fibers. However, reactive dyeing of cotton has a considerable environmental impact due to the large volumes of dye effluent containing unfixed dyes and salts. As a result, reactive dyeing is considered 0ne of the most environmentally polluting dyeing methods. Among the alternative approaches gaining increasing attention from researchers is the chemical cationization of cotton, which improves dye affinity without the need for salt. In this study, cotton was cationized using the commercial product CRW, supplied by Impocolor, to achieve an adequate dye uptake for uniform reactive dyeing on the modified cotton substrate. T0 effectively monitor the dyeing process of cationized cotton with the reactive dye Triactive Red S3B, a Datacolor SF 450 spectrocolorimeter was employed to measure the K/S values of various samples. The effects of temperature, dye concentration, sodium carbonate concentration, and processing time on the dyeing performance of cationized cotton were evaluated.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-15
DOI
https://doi.org/10.5281/zenodo.18092093
Primary Topic
Dyeing and Modifying Textile Fibers
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PREDICTION THE DEPTH OF COLOR, OF CATIONISED COTTON FABRIC DYED WITH REACTIVE DYES USING FUZZY LOGIC

Journal of Theoretical and Applied Information Technology
Zenodo (CERN European Organization for Nuclear Research)
Dyeing and Modifying Textile Fibers
article

PREDICTION THE DEPTH OF COLOR, OF CATIONISED COTTON FABRIC DYED WITH REACTIVE DYES USING FUZZY LOGIC

Journal of Theoretical and Applied Information Technology
article en

Abstract

Cotton fabrics are commonly dyed using reactive dyes. These dyes typically require substantial amounts of salt or sulphates, which serve to reduce the surface tension between the anionic dyes and the anionic cellulose fiber. This interaction significantly enhances dye bath exhaustion and facilitates the diffusion 0f the dye onto the cotton fibers. However, reactive dyeing of cotton has a considerable environmental impact due to the large volumes of dye effluent containing unfixed dyes and salts. As a result, reactive dyeing is considered 0ne of the most environmentally polluting dyeing methods. Among the alternative approaches gaining increasing attention from researchers is the chemical cationization of cotton, which improves dye affinity without the need for salt. In this study, cotton was cationized using the commercial product CRW, supplied by Impocolor, to achieve an adequate dye uptake for uniform reactive dyeing on the modified cotton substrate. T0 effectively monitor the dyeing process of cationized cotton with the reactive dye Triactive Red S3B, a Datacolor SF 450 spectrocolorimeter was employed to measure the K/S values of various samples. The effects of temperature, dye concentration, sodium carbonate concentration, and processing time on the dyeing performance of cationized cotton were evaluated.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 37%
Dyeing and Modifying Textile Fibers
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.