A Model for Predicting a Yarn's Knittability
Articles > Article · 2004
Authors: S DONMEZ, Arzu MARMARALI
Textile Research Journal, Journal Indexed in SCI Expanded, International, WoS, 2004, vol 74, pp 1049-1054
DOI: 10.1177/004051750407401204
Summary
In this study, we attempt to determine the knittability of a yarn before knitting. Thirty different yarns are knitted into 1 × 1 rib structures with three different loop length values. The knitting process is observed and the number of machine stops, yarn breaks, and holes are recorded. The results of experiments are evaluated by charts and statistical analyses. With a multiple regression analysis, two equations that depend on yarns characteristics can be used to predict yarn-needle and yarn-yarn friction values. In the last stage, we use a binary logistic regression analysis to indicate knittability, depending on the yarn-needle and yarn-yarn friction values, the machine tightness factor, and machine speed values.