Hatice Kübra Kaynak

The effect of weave type on dimensional stability of woven fabrics

Purpose – Testing the effect of machine washing and drying on dimensional stability produces information about the fabric types that satisfy consumers during end use. At present, it is a known fact that the weave patterns affect the dimensional stability property of woven fabrics. But the essential requirement is to determine the magnitude of this effect for weave types and establish the proper weave types for end use in definite tolerances. The purpose of this paper is to investigate the dimensional stability properties of 100 percent cotton woven fabrics as a function of weave type.Design/methodology/approach – In total, 12 woven fabrics with different weave derivatives are woven with 100 percent cotton and Ne 30/1 combed ring spun yarn for this investigation. These samples are then washed and dried according to domestic washing and drying standard test procedures. The shrinkage values are measured and then expressed as a percentage of the initial dimensions.Findings – It was observed that weave pattern...

Polyester Microfilament Woven Fabrics

Synthetic fiber industry has been enforced to make developments due to the increasing performance demand for textile products. One of the most important developments in synthetic fiber industry, is absolutely producing extremely fine fibers which are named as microfibers and nanofibers (Kaynak & Babaarslan, 2010). Until today, there is no exact definition for microfibers. But common opinion is defining a fiber finer than 1 dtex or 1 denier as microfiber (Leadbetter & Dervan, 1992; Bianchi & Maglione, 1993; Purane & Panigrahi, 2007; Basu, 2001; Mukhopadhyay, 2002; Falkai, 1991; Rupp & Yonenaga, 2000). 1 dtex polyester fiber has a fiber diameter of approximately 10 μm (Falkai, 1991). On the other hand, nanotechnology refers to the science and engineering concerning materials, structures and devices which at least one of the dimensions is 100 nanometers (0.1 μm) or less (Ramakrishna, et al., 2005).

Effects of Filament Linear Density on the Comfort Related Properties of Polyester Knitted Fabrics

One of the most important developments seen in the synthetic fibre industry is absolutely producing microfibres. Microfibres provide many distinguishing properties for different end uses. In this study, the effects of filament linear densities on the comfort related proper ties of polyester knitted fabrics were investigated. For this aim, microfilament polyester textured yarns of 110 dtex with 0.33 dtex, 0.57 dtex and 0.76 dtex filament linear densities and conventional polyester textured yarns of 110 dtex with 1.14 dtex and 3.05 dtex fila ment linear densities were knitted. Dynamic liquid moisture management, air permeability, water vapour permeability and thermal properties of the fabrics were tested. Consequently it is seen that fabrics with coarser filaments have a better capability of transferring liquid moisture. Lower air permeability results are observed with finer filaments, while there is no considerable difference among the samples for water vapour permeability. Also higher thermal resistance results are obtained for samples of coarser filaments.

Analysis and prediction of air permeability of woven barrier fabrics with respect to material, fabric construction and process parameters

Air permeability is one of the important properties of conventional as well as technical fabrics such as protective garments, filters, and fabrics for airbags and parachutes. In case of surgical textiles, air permeability is an effective measure of thermo-physiological comfort. This study is aimed to analyze PES barrier fabrics and to develop correlation between permeability and influential material, construction and process parameters. Not only the individual effects of yarn, fabric and loom parameters but also the underlying complex interactions between fewer or several of these influencing factors exert significant influence on fabric porosity and permeability. Artificial neural network (ANN) is the suitable tool to map such complex input-output relationships, since a direct analytical solution is not possible. Feedforward neural network models were trained with combination of Levenberg-Marquardt algorithm and Bayesian regularization support incorporated in backpropagation. Based on the number of input variables, three ANN models were optimized. It was observed that the model which was trained with all selected inputs delivered promising results on test data, i.e., R2=0.985 and mean absolute error of 1.8%. To eliminate any doubt of overfitting, 10 % cross-validation was also performed for selected final model. Furthermore, to investigate the relative importance of input variables in the optimized ANN model, the rank analysis was also carried out. Research outcomes reveal that ANN can be used to tailor barrier fabric permeability depending on the requirements quickly without trials and error by adjusting loom, fabric and yarn parameters.

Thermophysiological comfort and performance properties of knitted fabrics produced from different spinning technologies

Abstract In this study, it was intended to investigate the effects of yarn spinning technology on knitted fabric thermophysiological comfort and performance properties. For this aim, three different 100% cotton Ne 16/1 yarn samples were produced with different spinning technologies namely, combed ring, compact and sirospun. Then six knitted fabric samples were produced with two different loop lengths. In the context of this study, air permeability and water vapour permeability tests were done as thermophysiological comfort tests, pilling resistance and abrasion resistance tests were performed as performance tests. In order to understand the statistical importance of spinning technology and loop length on knitted fabric properties, ANOVA was performed. According to the results, it is seen that spinning technology and loop length have important effects on observed properties.

Pamuklu/Elastan Süprem Kumaşlarda Fiziksel, Boyutsal ve Görünüm Özellikleri

Giyim rahatligi ve geri donus ozelliklerinin oldukca iyi olmasi ile elastanli orme kumaslar; spor giyim, ic giyim ve gunluk giyim basta olmak uzere giysilerde siklikla tercih edilmektedir. Bu calisma kapsaminda farkli elastan oranlarina sahip pamuklu suprem kumaslarin fiziksel, boyutsal ve estetik ozellikleri belirlenmis ve elastansiz suprem ile karsilastirilmistir. Calisma, elastanin suprem kumaslari sikilastirip daha agir ve kalin hale getirdigini, boy cekme ile estetik ozellikler olan verevlik ve may donmesini oldukca azalttigini ortaya koymustur. 2x1 elastanli suprem kumasin, diger elastanli supremlere ve ozellikle 1x1 elastanli supreme yakin ozellikler gosterdigi belirlenmistir.

Optimization of stretch and recovery properties of woven stretch fabrics

Stretch woven fabrics are widely used owing to their comfortable properties such as formability, fitting to the human body and shape retention after wearing. These distinguishing properties are determined by stretch and recovery tests. The aim of this study is to determine the optimum elastane draw ratio, load and relaxation type for best stretch and recovery properties of woven stretch fabrics. An optimization model is developed to determine the optimum draw ratio of the elastane core in the yarn, load applied to the fabric and relaxation type for the best response variables of stretch and permanent stretch. The effects of the elastane draw ratio, load applied to the fabric and relaxation type on stretch and permanent stretch properties are found to be statistically significant according to analysis of variance results. Regression models are obtained to estimate the stretch and recovery properties for different elastane draw ratios and load levels. Additionally, the effect of the elastane draw ratio of the yarn on the fatigue properties of woven bi-stretch fabrics is investigated for dry relaxed and laundered states.

Multi-response optimization of thermophysiological comfort properties of polyester filament woven fabrics

Abstract Microfilament woven fabrics are used in many products such as sportswear, rainclothes, windproof clothes, sleeping bags and surgical gowns and for these products, thermophysiological comfort properties are of prime importance. In this study, it is intended to investigate the effects of filament linear density and weft sett on thermophysiological comfort properties. Also, an optimization model was developed to determine the optimum filament linear density and weft sett for the best response variables of air permeability, water vapour permeability and thermal resistance. Four different weft sett and five different filament linear densities were applied in weft direction with three different weave types. In doing so, 60 woven fabric samples were produced. According to ANOVA results and experimental observations, it is observed that, the effect of filament linear density on air and water vapour permeability was minor on microfilament range, whereas the differences between conventional filament and microfilament sample groups are considerable. Also, higher weft sett causes decreasing of air and water vapour permeability. On the other hand, there is no obvious consistent trend for thermal resistance of samples with different filament linear density and weft sett.