Statistical Investigation of the Effect of Major Parameters of False Twist Texturing on the Dyeing Characteristic and Color Properties of Microfilament Polyester Yarn

Microfilament polyester yarns are one of the most important and widely used yarns in the textile industry and the fabrics produced from these yarns have a large consumption. One of the most important issues regarding fabrics made from Microfilament yarns is the issue of dyeing and dyeing properties of these fabrics. Among the concerns of DTY polyester yarn manufacturers are the conditions for producing and texturizing these fibers. Choosing the right range for each of the effective parameters in the false twist texturing machines will play a major role in the physical properties, dyeing Characteristic and color properties of the yarn produced. In this paper, we attempt to study the effect of the most important texturing parameters by false twist method: first heater temperature, draw ratio, D/Y rate and texturing speed on some of the most important color properties of microfilament polyester yarn that dyeing with dispersant dyestuff. These properties include color reflectance (% R), color strength (K/S), amount of dye absorbed ( ) and absorbance number (A). Experiments are designed using ANOVA and Response Surface Methodology (RSM) method. The effect of changes in the main texturing parameters on the color coordinates of the microfilament polyester yarn is studied. The POY yarn used in this study is polyester yarn with a count of 135 dtex and 144 filaments. According to the studies, the interaction between the first heater temperature and the D / Y rate as well as the interaction between the draw ratio and the D / Y rate will have the greatest effect on the color strength and color properties of the microfilament polyester yarn

Optimization of Wool Slenderizing Along with In-situ Synthesis of Silver Nanoparticles Using Box–Behnken Design

Following our previous research for simultaneous in-situ synthesis of silver nanoparticles and wool fiber fineness using sulfur-based reducing agents, here we focused on optimization of the process using response surface methodology. A Box–Behnken Design was applied to study the influence of variables including silver nitrate percentage, reducing agent concentration, temperature and time of the procedure, and their appropriate values for the highest fineness, lowest tenacity reduction and lowest color change were obtained. Here we tried to optimize the preparation conditions using a weak reducing agent namely sodium bisulfite to achieve the equivalent fineness modification but with reduced fiber damage