İlkan Özkan

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.

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 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.