Pınar Duru Baykal

Comparison of the neural network model and linear regression model for predicting the intermingled yarn breaking strength and elongation

In this study, the effects of selected intermingling process parameters on yarn breaking strength and elongation were predicted using artificial neural network. For this aim, partially oriented polyester yarn with 283 dtex linear density and three different numbers of filaments (34, 68, and 100) were used for producing interlaced yarn under different process parameters (speed and pressure). Yarns’ elongation and strength values measured with Uster Tensorapid test device and the number of filaments are input variables of the artificial neural networks. Feed forward neural network (FFNN) is used as the network structure. All FFNN computations were performed by MATLAB software package. The comparison results show that the FFNN has a better prediction performance than linear regression.

Puntalama İşleminde Üretim Parametrelerinin ve Filament Özelliklerinin Punta Kalıcılığına Etkisi

The aim of this study is to evaluate many parameters on the intermingling process and to determine statistically the effects of these parameters on the stability of yarn nips. For this purpose, POY (Partially Oriented Yarn) filaments, which have two different linear densities (122, 283 dtex) and two different filament numbers (68, 100) in cross section, were used as raw material. POY bobbins were intermingled by selecting three different speed levels (150, 300, 450 m/min) and three different pressure levels (3, 5, 6 bar). Stability of the nips of intermingled yarns has been tested and this feature was evaluated as response (dependent) variable. Linear densities of POY, number of filaments in crosssection, intermingling speed and intermingling pressure were taken as independent variables. General Factorial Design was applied by using Design Expert 6.0.1 software package and the effects of selected independent variables on the response variables were evaluated statistically and results were interpreted.

Effects of fiber types and blend ratios on Murata Vortex yarn properties

Abstract Murata Vortex spinning (MVS) system is one of the unconventional systems for yarn manufacturing. It is suitable for spinning of 100% cotton fibers, synthetic fibers, and cotton/synthetic fiber blends which are 1 inch or more in length. The production ranges are between Ne 15-60. Vortex yarn and fabrics have low hairiness, clear appearance, high resistance to pilling and abrasion. In this study, the vortex yarns with Ne 30 are produced in different blend ratios in Murata Vortex Spinner using carded cotton, viscose, modal, silver-added polyester (Flexsil-D2™), polyester, and nylon 6.6 fibers. Vortex spun yarns are tested to determine the yarn properties which are diameter, density, roundness (shape), unevenness, imperfection, Uster hairiness (H), Zweigle hairiness, tenacity, and elongation. The study reveals that the fiber type has quite significant effects on yarn properties. In terms of structural properties, cotton is the most negative fiber while regenerated cellulosic fibers are the most positive. As modal, nylon and polyester fiber increase yarn strength, nylon and viscose fiber increase breaking elongation. Viscose and modal reduce unevenness, imperfection and hairiness while polyester and nylon exhibit more negative effect on these properties.

Seçilmiş Denim Kumaşta Yıkama Türünün Kumaş Mukavemeti ve Uzaması Üzerindeki Etkilerinin Araştırılması

Calismada agir gramajli denim kumasa rinse, enzim ve enzimli tas olmak uzere uc farkli turde yikama uygulanmistir. Yikamalar oncesi ve sonrasi kumas mukavemet ve uzamasi olculmus, elde edilen veriler SPSS istatistiksel veri analizi paket programi ile analiz edilmistir. Analiz sonuclarina gore yikama turunun denim kumas uzerindeki etkileri degerlendirilmistir. Yapilan calisma sonucunda yikama islemlerinin kumasta muka-vemet kaybina neden oldugu ve en fazla mukavemet kaybinin enzimli tas yikama sonrasi olustugu gozlenmistir. Rinse yikama isleminin kumas mukavemeti ve uzama yuzdeleri uzerinde istatistiksel olarak anlamli etki yarat-madigi, enzim ve enzimli tas yikama islemlerinin ise hem atki hem de cozgu yonunde uzama degerlerini dusur-dugu gozlemlenmistir.

Örme Konfeksiyonda Kumaş Eni ile Kumaş ve Model Türünün İkinci Kalite Maliyetine Etkisi

Gunumuzde Hazir Giyim firmalarinin gerek ulusal gerekse uluslararasi pazarlarda rekabet edebilmesi, musterilerin “zaman, maliyet ve kalite” beklentilerini karsilayabilmesi ile mumkun olabilmektedir. Kumas maliyeti, toplam giysi maliyetinin %50’sine yakinini veya daha fazlasini olusturmaktadir. Bu calismanin amaci; pastal resmi verimliligini ve dolayisiyla hammadde maliyeti ile ikinci kalite maliyetini etkileyebilecek parametreleri belirlemek ve bu parametrelerin etkilerini incelemektir. Bu amacla orme ust grup giysilerden kalip sayilari ve kalip sekilleri birbirinden farkli alti model secilmistir. Bu modellerin, uc farkli kumas eninde ve dort farkli kumas turunde, Gemini NestExpert programi kullanilarak kesim yerlesim plani (pastal resimleri) hazirlanmistir. Model turu, kumas eni ve kumas turu (kumas cekme degeri) bagimsiz degiskenler, birim ikinci kalite maliyeti ise bagimli degisken olarak secilmistir. Elde edilen veriler istatistiksel olarak da analiz edilerek yorumlanmistir.

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.

Halı Üretiminde İletken Filamentlerin Kullanım Olanaklarının Araştırılması

Yapilan calismada metal ve metalize iletken filamentlerin halilarda kullanim olanaklari ve halilara kazandirmasi muhtemel ozellikler arastirilmistir. Halilar hav iplikleri, zemin cozgusu, zemin atkisi ve dolgu iplikleri gibi farkli iplik gruplarindan meydana gelirler. Calismada oncelikli olarak metal ve metalize filamentlerin halilara en dusuk maliyetle yerlestirilecek iplik grubunun belirlenmesi hedeflenmistir. Yapilan arastirmalar sonucunda yerlesim yerinin etkisi ve dusuk kullanim miktari nedeniyle zemin cozgusu tercih edilmistir. Zemin cozgusunde kullanilacak teksture polyester iplikler ile iletken filamentler puntalama islemiyle birlestirilmistir. Bu ipliklerin zemin cozgusunde kullanilmasiyla uretilen numune halilara secilen performans testleri yapilmistir. Calisma kapsaminda gerceklestirilen uygulamanin, halilara antibakteriyel, antimantar, antistatik, ve elektromanyetik ekranlama ozelliklerini kazandirdigi gorulmustur.

The Comparison of the Yarn Hairiness Produced with the Conventional Ring and RoCoS® Compact Spinning System

In this study, RoCoS® compact yarns and conventional ring yarns were compared according to their hairiness properties. For this aim, %100 combed cotton, %100 modal, %50/50 modal-combed and %50/50 polyester-viscose RoCoS® compact and conventional ring yarns were produced at three yarn counts. Hairiness properties were tested by Zweigle G 567. Test results were evaluated statistically by using Design Expert 6.0.1. programme. In this programme yarn spinning system and yarn count were chosen independent variables, yarn hairiness was chosen dependent variable and all the data were analyzed statistically.In this study, RoCoS compact yarns and conventional ring yarns were compared according to their hairiness properties. For this aim, %100 combed cotton, %100 modal, %50/50 modal-combed and %50/50 polyester-viscose RoCoS compact and conventional ring yarns were produced at three yarn counts. Hairiness properties were tested by Zweigle G 567. Test results were evaluated statistically by using Design Expert 6.0.1. programme. In this programme yarn spinning system and yarn count were chosen independent variables, yarn hairiness was chosen dependent variable and all the data were analyzed statistically.

The effects of intermingling process parameters and number of filaments on intermingled yarn properties

The aim of this study is to evaluate many parameters in intermingling process and to determine the effects of these parameters on yarn properties statistically. For this purpose, POY (partially oriented polyester yarn) filaments, which have 283 dtex linear density and four different filament numbers (34, 47, 68, 100) in cross-section, were used as raw material. Samples were produced at speeds of 150, 300, 450 m/min and pressures of 3, 5, 6 bar, respectively. Intermingled yarn’s strength, elongation, and the number of nips were tested and these features were evaluated as response (dependent) variables. Number of filaments in cross-section, intermingling speed, and intermingling pressure were taken as independent variables. General factorial design was applied by using Design Expert 6.0.1 and SPSS 15.0 software package, and therefore, the effects of selected independent variables on response variables were evaluated statistically. Results showed that the intermingling pressure and number of filaments have statistically significant effects on all the response variables. Moreover, it is observed that there is an interaction between pressure and the number of filaments. The intermingling speed on the other hand has no statistically significant effect.

Punta Sayısının Örme Kumaşlarda Eğilme Dayanımı Üzerindeki Etkilerinin Araştırılması

In this study, it is aimed to investigate the effects of filament yarn’s number of nips on bending rigidity of knitted fabric which is made of that yarn. For this purpose, polyester POY (Partially Oriented Yarn) filaments with 283 dtex linear density and 68 filaments in cross section were used as raw material. POY bobbins were intermingled at different speed and pressure levels thus yarns having five different numbers of nips were produced. Single jersey knitted fabrics were produced using these yarns on the circular knitting sample machine. According to ASTM circular bending test method, bending rigidity of knitted fabrics was determined by using the digital pneumatic stiffness tester. The effects of the change in the number of nips on the bending rigidity of knitted fabrics were examined and the test results were analyzed statistically.