Development of a Statistical Model for Predicting the Dimensional Stability of Socks during Wet ProcessingKhan A*, Ahmad S, Amjad A, Khan IA and Ibraheem W
National Textile University, College in Faisalabad, Pakistan
- *Corresponding Author:
- Khan A
National Textile University
College in Faisalabad, Pakistan
Tel: +92 41 9230090
E-mail: [email protected]
Received date: June 08 2017; Accepted date: June 30, 2017; Published date: June 05, 2017
Citation: Khan A, Ahmad S, Amjad A, Khan IA, Ibraheem W (2017) Development of a Statistical Model for Predicting the Dimensional Stability of Socks during Wet Processing. J Textile Sci Eng 7: 304. doi: 10.4172/2165-8064.1000304
Copyright: © 2017 Khan A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
One of the most important problems in socks manufacturing industry is change in size that affects the dimensions of final product. This dimension instability arises mainly due to the strains in the fabric getting relaxed during any wet treatment. Change in dimension play a vital role in achieving the required specifications of a sock. This dimensional change may be in a positive (growth) or negative (shrinkage) direction for fabric length and width. In this research article a statistical model is developed showing the effect of loop length, count and construction of cotton socks on its dimensional stability during wet processing. Carded cotton socks with different counts (16/1 Ne and 20/1 Ne) and loop lengths (0.30 cm and 0.40 cm) were developed. All the developed samples were subject to reactive dyeing, washing and boarding. The dimensional stability was calculated and analyzed by main effects plot.