Dyeing process parameters optimisation and colour strength prediction for viscose/lycra blended knitted fabrics using Taguchi method

Abstract

The main purpose of this study was to find the optimal dyeing conditions as well as predict the colour strength (CS) of viscose/lycra blended knitted fabrics using Taguchi method. The controllable factors such as dye concentration, temperature, time, alkali concentration, salt concentration and liquor ratio have been used as input variables and CS of the fabric as response variable for the construction of Taguchi model. An L 25 orthogonal array design has been chosen and conducted 25 experiments with three runs for each experiment. The optimal parameters in the dyeing process have been identified as dye concentration 9%, time 60 min, temperature 75°C, salt concentration 50 g/l, alkali concentration 14 g/l and liquor ratio 1:8. Taguchi mathematical model built in this study has been confirmed by confirmation experiment as well as unseen experimental data. The mean absolute error and coefficient of determination (R 2 ) were found to be 3.48% and 0.88, respectively, from the actual and predicted CS. It is concluded that Taguchi method is efficient on the optimisation and prediction of fabric CS in non-linear complex dyeing.

Sustainable Dyeing of Cellulosic Fabric with Reactive Violet H3R dye: Ultrasonic Assisted Improvement in Color Characteristic

“…Upon dyeing through firm covalent bonding, the dyed fabric resists in fading the color. The conjugation system, in the dye molecule and benzenoid structure present in Reactive Violet H3R dye using play their role when the fabrics are exposed to heat, light, and detergents, which in turn helps to improve the grading upon comparison at greyscale [34,35]. Hence it is concluded that U.S. treatment has improved the rating of colorfastness properties of cellulosic fabric when treated for 30 min.…”

Investigation of the effect of different process variables on color and physical properties of viscose and cotton knitted fabrics

“…The knitted textile materials produced from cellulosic viscose and cotton fiber fabrics are very popular for apparel wear due to their unique properties such as wear comfort, excellent hydrophilicity, biodegradability, air permeability, soft to the skin, superior moisture absorbent, easy-care properties and good capacity to pick up various classes of dyestuffs over woven fabrics, [ 1 , 2 , 3 , 4 , 5 , 6 , 7 ]. A linear polymer cellulose encompass the repeating unit D-anhydroglucose joined together by β (1–4) glycosidic linkages.…”

“…The color strength, color fastness and pilling resistance are the fundamental quality characteristics of the dyed fabrics to the consumers. However, in the textile dyeing industry, color strength/color shade variance and poor color fastness properties in dyed fabrics are some of the most important reasons for fabric refusal [ 2 , 3 , 4 , 9 , 10 , 11 , 12 ]. Likewise, the pilling of knitted fabric is an undesirable property that affects the handle and appearance drastically and declines the service life of the products [ 1 ].…”

“…Likewise, the pilling of knitted fabric is an undesirable property that affects the handle and appearance drastically and declines the service life of the products [ 1 ]. Many inside and outside parameters affect the color and physical properties of the final products in textile dyeing process as stated in the past research investigation [ 2 , 3 , 4 , 9 , 12 ]. Hence, it is important to investigate the effect of process variables to find the optimal and significant factors in the dyeing process to achieve the final products as per the customer requirement.…”

Optimization of Digital Textile Printing Process using Taguchi Method

“…Color strength and fastness were used as the characteristic values for Taguchi analysis. However, the Taguchi method is primarily suited for single characteristic value problems and does not easily handle multiple characteristic values [7][8][9][10][11]. To solve this multiple-characteristic value problem, two methods were implemented in this study-single characteristic value conversion and minimummaximum selection method.…”