19-08-2014, 11:22 AM
In the present work an attempt is made to investigate the influence of structural parameters of the yarn and fabric like the yarn count, yarn T.M. and the PPI on the final performance of the desized fabric. 100% cotton and 67/33 polyester cotton blended sliver were first spun into ring and rotor yarns with different count and twist multiplier(T.M.). These yarns were then converted into the fabric, with two different P.P.I..
Modern requirement of consistency of production coupled with an increasing tendency towards automated processing machinery, have created a need for greater control over processing conditions. The aim of the processing is not necessarily directed to eliminate impurities completely nor to attempt an exact shade match, but to produce a product as per the customer’s requirement. Hence, a careful control over the process parameters like pH, time, temperature, water quality, speed of the machine, as well as the quality and quantity of the chemicals is of prime importance. Equally important is the control on the fabric quality in terms of its basic structure like yarn type, yarn count, ends per inch (EPI) and picks per inch (PPI), twist multiplier (T.M.), cover factor and also the type of weave, as these parameters during the interaction of the fabric with the chemicals used in the processing finally determine the quality aspects of the processed fabric. The understanding of the above parameters not only reduces the processing cost, but also ensures reproducibility in day-to-day production.
In the present work an attempt is made to investigate the influence of structural parameters of the yarn and fabric like the yarn count, yarn T.M. and the PPI on the final performance of the desized fabric. 100% cotton and 67/33 polyester cotton blended sliver were first spun into ring and rotor yarns with different count and twist multiplier(T.M.). These yarns were then converted into the fabric, with two different P.P.I..
The purpose was to understand and comprehend the effect of these parameters on the performance of the fabric at different processing stages such as desizing, scouring, bleaching, mercerisation and dyeing. The regression equations were obtained with respect to various kinds of responses relating to fabric construction parameters. The applicability of such equations was tested and good degree of predictability was achieved. The advantage of this system lies in the fact that an empirical model thus developed can be used to design fabrics with the desired properties.