Erhan Kenan Çeven

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.

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.

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.

Investigation of drape and crease recovery behaviors of woven fabrics produced from centipede yarns having different parameters

In this research, the effect of centipede yarn production parameters – band yarn count and chain number – on drape and crease recovery behaviors of woven fabrics produced with these yarns were investigated. Polyester centipede yarns were produced on a Crochet machine with three different count (150, 300 and 600 denier) band yarns and three different chain numbers (10, 12 and 14 chain/cm). The centipede yarns were used as filling in the woven fabric construction. Drape coefficients of the fabrics were calculated from the drape measurements and the crease recovery angles of the fabrics were measured in the weft and warp directions. According to the analysis of variance results, it was proved that the drape and crease recovery behaviors of the woven fabrics from centipede yarns were affected by the centipede yarn structural parameters. Drape coefficients and crease recovery angles in weft and warp directions of the fabrics increased with the selection of higher chain numbers and coarser band yarns. Also correlations were determined between centipede yarn bending length, yarn-to-yarn friction and measured physical behaviors of the fabrics. The results of this study could provide researchers with information on how to determine the centipede yarn structural parameters for producing woven fabrics of centipede yarns with desired aesthetics and functionality.

Investigation of Moisture Management and Air Permeability Properties of Fabrics with Linen and Linen-Polyester Blend Yarns

This paper has focused on moisture management (MMT) and air permeability properties of fabrics produced from linen (100%) and linen-polyester yarns (80% polyester and 20% linen) at different weft densities. In the experimental study, eighteen different types of fabrics composed of six different weft yarns with three levels of weft density (weft density of 8,10 &12 pick/cm for 100% linen fabrics and 14,16,18 pick/cm for polyester-linen fabrics) were selected in order to determine the influence of weft density and yarn structural parameters (number of yarn folds) on moisture management as well as air permeability properties. The following weft yarns were selected: 104/1 tex, 104/2 tex & 104/3 tex for 100% linen and 41/1 tex, 41/2 tex & 41/3 tex for 80% Polyester – 20% linen fabrics, whereas the warp yarn was constant – 50/1 tex 100% linen for all fabric types. Satin type fabrics were subjected to moisture management tests and air permeability tests as well. According to test results, it was determined that some of the moisture management (wetting time, absorption rate (%/s) and one-way accumulative transport index of the fabrics’ top surfaces and bottom surfaces) and air permeability properties were significantly affected by the number of yarn folds and the weft density at a 0.05 significance level.

Investigation of Tensile and Stiffness Properties of Composite Yarns with Different Parameters

In this experimental study, we investigated the effects of core yarn diameter and cover yarn type on the mechanical properties of composite yarns produced using a hollow spindle twisting machine according to the method of covering. Composite yarns containing stainless steel (SS) metal wires with diameters of 50 μm and 100 μm were produced with seven different cover yarns varying in their raw material and structure. These cover yarns were as follows: polypropylene, cotton, core-spun polyester/cotton, continuous filament polyester, continuous filament polyamide 6.6, core-spun polyester/polyester, and polyester cut fibre yarns. The mechanical properties measured were tensile behaviour and stiffness. According to the findings of the statistical analyses performed using the experimental values, the core yarn diameter, cover yarn type and the interactions of these factors were all significant factors affecting the tenacity, elongation at break, work of rupture and stiffness properties of the composite yarns. Composite yarns containing continuous filament polyamide 6.6 cover yarn showed higher tenacity values, while the maximum elongation at break was obtained for the composite yarns containing continuous filament polyester cover yarn. Both polyester and polyamide 6.6 possessed higher work of rupture values among the other types of cover yarns. An increase in the SS wire diameter resulted in a significant increment in stiffness values. The results of this study implied that it is important to give importance to component yarn types when designing composite yarns with desired physical properties.