Affiliation:
1. Department of Textile Engineering, Ege University, İzmir, Turkey
Abstract
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.
Subject
Polymers and Plastics,Chemical Engineering (miscellaneous)
Reference12 articles.
1. 2. Christensen, R. “Log-linear Models and Logistic Regression.” 2nd ed. Springer-Verlag, NY, 1997, pp. 120-170.
2. 3. Ergün, M., Application of Statistics in Scientific Research: SPSS for WINDOWS, 107-109, 1995.
3. 19—CAPSTAN FRICTION FOR POLYMER MONOFILAMENTS WITH RIGIDITY
4. Knitting Performance of Wool Yarns: Instrumentation Studies 1
Cited by
13 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献