Computer-aided statistical module for hand-knotted carpets

Abstract

This study deals with the development of equations to predict abrasion loss and carpet hand value (CHV) of hand-knotted carpets. Best-fit equation obtained from regression analysis shows that the abrasion loss depends on fibre diameter and number of medullated fibres present in the yarn as well as pile density of carpet. The regression coefficient is found to be 0.47, which is highly significant (p<0.01). The best-fit equation for CHV reveals that it depends on pile height, carpet thickness and pile density. The coefficient of regression is found to be 0.77, which is significant at p<0.01. Based on these equations, a software is developed using C language which can predict abrasion loss and CHV within the range of error ± σ value.