The Open Textile Journal

2009, 2 : 16-28
Published online 2009 March 27. DOI: 10.2174/1876520300902010016
Publisher ID: TOTEXTILEJ-2-16

Optimisation of a Textile Process Using Taguchi Method

Akshay Kumar and S. M. Ishtiaque
The Abhishek Industries Ltd, Trident Complex, Barnala, Punjab, India.

ABSTRACT

Taguchi Method is explained in brief and one of the textile processes, called spinning process, is optimised by using Taguchi method for manufacturing optimum packing density of different technologies yarns. The effect of process variables like: lap hank, card draft, draft/doublings and drafts at speed frame, ring frame, rotor and air-jet spinning machine on packing density parameters of respective technology yarn was analysed. The effect of noise variables was also accounted for. The trends of change in packing density with process variables are opposite to those of yarn diameter and helix angle of ring, rotor and air-jet yarns studied. The packing density is found to be the highest in air-jet yarn and the lowest in rotor yarn. Increase in draft in air-jet spinner and decrease in rotor spinner increase packing density of the respective yarns. The change in noise variables does affect the packing density parameters of yarns. Result analysis using Taguchi Method was according to the perception of some of the previous researcher on the subject. Hence, Taguchi method can be also used to optimise a textile process, where the product quality is highly variable and dependent on the combination of number of processes as well as on machine parameters.

Keywords:

ANOVA, controllable factors, noise variables, orthogonal array, packing density, regression model, spinning process, Taguchi method, yarn diameter.