Özcan Özdemir

Influence of Chenille Yarn Manufacturing Parameters on Yarn and Upholstery Fabric Abrasion Resistance

In this study, forty-eight different chenille yarns are produced on a chenille machine using a range of material types, twists, and gauges. In the first group, 4 Nm count chenille yarns are produced with six different pile materials, two different twists, and two different gauges. In the second group, 6 Nm count chenille yarns are produced with the same machine and material parameters. In order to measure the performance of chenille yarns, their abrasion resistance is measured with a chenille yarn abrasion device, and the abrasion resistance of upholstery fabrics made from these yarns used as filling is measured with a Martindale wear and abrasion tester. The results of pile loss are evaluated according to material type, twist, and pile length of the chenille yams. Clearly, there is an improvement in abrasion resistance with increasing twist, gauge (pile length), and the use of natural fibers as pile materials, which may be due to increasing frictional behavior between the pile and lock yarns.

Evaluation of Chenille Yarn Abrasion Behavior with Abrasion Tests and Image Analysis

Chenille yarns are vulnerable to abrasion because of easy pile loss. In this study different chenille yarns were produced from sirospun and two-folded ring, 100% wool and 50% wool-50% polyester blend yarns of different fiber fineness. A yarn abrasion device was designed in order to measure the abrasion resistance of chenille yarns and the abrasion resistance of knitted fabrics made from these yarns was measured with a Martindale Abrasion tester. In addition, chenille yarns abraded for different numbers of abrasion cycles were analyzed using a computerized image analysis method to evaluate the abrasion behavior. The results were analyzed statistically. According to the results, the use of wool blends and sirospun yarns as pile materials led to an improvement in abrasion resistance. Correlation analyses confirmed strong linear relationships with high values of correlation coefficients (above 0.9) between the mass loss values obtained from abrasion tests and the abrasion coefficients of the chenille yarns obtained from image analysis.

The Effect of Vacuum Steaming Processes on Physical and Dyeability Properties of Polyamide 6 Yarns

In this study, the effect of vacuum steaming temperature and time on the physical properties of polyamide (PA) 6 yarns has been investigated. Also, the effect of vacuum steaming temperature and time on twist liveliness and package hardness of PA 6 yarns has been studied and the results obtained have been evaluated using statistical methods. Further, the effect of vacuum steaming on dyeability properties of PA 6 yarns has been examined and the effect of vacuum steaming temperature and time on dye absorption properties of PA 6 yarns has been analyzed. As a result of this study, it has been seen that vacuum steaming temperature and time have significant effects on the tenacity properties, twist liveliness, package hardness, and dyeability properties of PA 6 yarns.

Prediction of chenille yarn and fabric abrasion resistance using radial basis function neural network models

The abrasion resistance of chenille yarn is crucially important in particular because the effect sought is always that of the velvety feel of the pile. Thus, various methods have been developed to predict chenille yarn and fabric abrasion properties. Statistical models yielded reasonably good abrasion resistance predictions. However, there is a lack of study that encompasses the scope for predicting the chenille yarn abrasion resistance with artificial neural network (ANN) models. This paper presents an intelligent modeling methodology based on ANNs for predicting the abrasion resistance of chenille yarns and fabrics. Constituent chenille yarn parameters like yarn count, pile length, twist level and pile yarn material type are used as inputs to the model. The intelligent method is based on a special kind of ANN, which uses radial basis functions as activation functions. The predictive power of the ANN model is compared with different statistical models. It is shown that the intelligent model improves prediction performance with respect to statistical models.

The effects of tandem and conventional vacuum steaming methods on the properties of yarns

This study was performed in order to investigate the effects of tandem and conventional vacuum steaming on the physical properties of 100% cotton and 100% viscose yarns. The yarns with different twisting coefficients and numbers were twisted and exposed to tandem and conventional vacuum steaming at different temperatures. Tenacity, unevenness, hairiness, twist liveliness, package hardness values, and spirality of knitted fabrics produced from these yarns were measured before and after vacuum steaming. The results obtained were assessed by means of COSTAT statistical analysis program. Variation analysis and SNK test were carried out at 5% (0.05) level of significance. The findings of this study indicate that the effects of vacuum steaming methods on the tenacity, unevenness, hairiness, twist liveliness and package hardness values of yarns are statistically significant. Although the effects of tandem vacuum steaming vary depending on the temperature applied and the raw material used, decreases are observed in unevenness, hairiness, twist liveliness and package hardness values of yarns.

Effect of Chenille Yarn Parameters on Yarn Shrinkage Behavior

The effects of chenille yarn properties—pile material type, pile length, and twist level—on the boiling shrinkage behavior of chenille yarns are examined in this study. Different chenille yarns are produced on a chenille machine using a range of pile material types, twist levels, and pile lengths. Nm 4 and Nm 6 count chenille yarns are produced from different pile materials of viscose, acrylic (0.9 dtex), acrylic (1.3 dtex), combed cotton, carded cotton, and open-end cotton, in two different pile lengths of 0.7 and 1.0 mm and two different twist levels of 700 and 850 T/m. The results indicate that pile material types, pile lengths, and twist levels have significant effects on the boiling shrinkage of chenille yarns.

Effects of vacuum steaming processes on the properties of continuous and staple polyester yarns

In this study, the effects of vacuum steaming process parameters on physical properties, tensile properties and twist liveliness values of spun and filament 100% polyester yarns were investigated. For this purpose, yarns having different twisting coefficients and different numbers were twisted, and afterwards they were exposed to vacuum steaming at different temperatures and for different durations. Linear density, hairiness, unevenness values, tensile properties and twist liveliness of these yarns were measured before and after vacuum steaming. The results obtained were assessed by means of COSTAT and SPSS statistical analysis programs and variation analysis, and Student–Newman–Keuls tests were carried out at 5% (0.05) level of significance. The results of this study indicate that the effects of vacuum steaming temperature and duration on tensile properties, unevenness, hairiness and twist liveliness of spun polyester yarns, and tensile properties and twist liveliness of filament polyester yarns, are statistically significant.