Using Fuzzy Logic to Evaluate and Predict Chenille Yarn’s Shrinkage Behaviour
Research and development
Authors:
- Çeven Erhan Kenan
Department of Textile Engineering, Udulağ University, Turkey - Özdemir Özcan (j/w)
 Full text | Abstract: In this study, a fuzzy logic system is used to determine the effects of yarn parameters on the boiling shrinkage behaviour of chenille yarns. Chenille yarns are produced with different yarn counts, pile lengths, and twist levels on a chenille yarn machine. In the production of such yarns, the core yarn component is selected as acrylic while the pile yarn component is selected as viscose. The boiling water shrinkage of chenille yarns is measured according to a laboratory test method. Experimental data is used to establish the fuzzy logic model and construct basic principles. According to the results, chenille yarns with higher twist levels and shorter pile lengths have lower shrinkage values, and the yarn count has a significant effect on shrinkage. The comparison of the results obtained from the fuzzy logic model and the experiments shows that there is a strong linear relationship between the measured and predicted yarn shrinkage values. |
Tags: shrinkage, chenille yarn, fuzzy logic, pile length, twist level, yarn count