Browsing by Author "Ceven, Erhan Kenan"

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A research on effect of surface treatment conditions on flammability and water repellency properties of drapery fabrics produced from micro polyester yarns
(Taylor & Francis, 2020-03-05) Gunaydin, Gizem Karakan; Ceven, Erhan Kenan; ÇEVEN, ERHAN KENAN; Gurarda, Ayca; GÜRARDA, AYÇA; Akgun, Mine; AKGÜN, MİNE; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Tekstil Mühendisliği Bölümü.; 0000-0003-3283-4117; AAG-4653-2019; AAG-9756-2021
Flame retardancy and water repellency are frequently applied finishing processes for drapery fabrics. These two treatments should require special attention when they are applied consecutively. This research aims to investigate the effect of sequential finishing processes by utilizing of different flame retardant chemical ratio (0, 60 and 90 g/l) and fluorocarbon based water repelling substance ratio (0, 10 and 30 g/l) on hydrophobic, flammability, air permeability and stiffness properties of the drapery fabrics. According to the results of statistical analyses, it was determined that fabric burning behaviour, air permeability and stiffness properties were significantly influenced from the process types with different finishing substance ratios and from the weft yarn density as well as from the interaction of process type and weft yarn density at 0.05 significance level. Additionally, process type was a significant factor on water repellency of drapery samples however weft yarn density and the interaction of weft yarn density and the process type were not influential factors on water repellency at significance level of 0.05. For both warp and weft fabric directions, lowest damage zone at the length and width with the ignition source was obtained from the samples which were only treated with flame retardancy process without water repellency (90-0 coded process). The most satisfying results in terms of water repellency were obtained from the samples treated with 60-30 coded process where 60 g/l FR and 30 g/l water repellent chemical substances were utilized respectively. Drapery fabrics treated with 60-0 coded process revealed the best windproof feature indicating the lowest air permeability.
Effect of chenille yarns produced with selected comfort fibres on the abrasion and bending properties of knitted fabrics
(INST Chemical Fibres, 2010-01) Kavuşturan, Yasemin; Ceven, Erhan Kenan; Özdemir, Özcan; Uludağ Üniversitesi/Mühendislik Fakültesi/Tekstil Mühendisliği Bölümü.; 0000-0003-3283-4117; 0000-0002-9919-564X; A-7462-2018; AAG-4653-2019; 24824357200; 6504089018; 8577587200
In this study, the effects of pile and core yarn material types on the abrasion and bending behaviour of chenille knitted fabrics were studied. For this purpose different chenille yarns were produced from seven types of pile yarn material and two types of core yarn material at the same yarn counts. The different pile yarn fibre types used for the production of chenille yarns were comfort fibres like tencel, bamboo, modal, soybean, 50/50% soybean-tencel and conventional fibres like viscose and cotton; the different core yarn types were polyester and viscose. The abrasion resistance of knitted fabrics made from these yarns was measured with a Martindale Abrasion tester. According to the results of statistical analyses performed using the experimental values, physical properties like mass and thickness loss due to abrasion were affected. by the pile and core yarn types. Course way, wale way and fabric bending rigidity properties were not affected by the core yarn fibre types. The course way bending rigidity property was affected by the pile yarn fibre types, while the wale way and fabric bending rigidity properties were affected by the pile yarn fibre types for undyed yarns.
Investigation of stretch properties of different stitch types in garments made of elastane woven fabrics
(Ege Üniversitesi, 2021-01-01) Geleri, Kıvanç; Gürarda, Ayça; Ceven, Erhan Kenan; Geleri, Kıvanç; GÜRARDA, AYÇA; ÇEVEN, ERHAN KENAN; Bursa Uludağ Üniversitesi/Fen Bilimleri Enstitüsü/Tekstil Mühendisliği Bölümü; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Tekstil Mühendisliği Bölümü; 0000-0003-3283-4117; 0000-0002-7317-8163; 0000-0003-4425-7396; AAG-4653-2019; JCN-9927-2023; EVH-7504-2022
In recent years, garments made of fabrics with elastane are highly preferred. A garment made of fabric with elastane is able to stretch by about 10-30% and recovery immediately after release. In the apparel industry, sewing should not prevent the fabric from stretching in the garments made from woven fabrics with elastane. The elasticity of the seams of the garments consisting of elastic fabrics is very important. In this study, it is aimed to examine the stretch and permanent elongation properties of different stitch types of garments made of elastane woven fabrics. For this purpose, 5 different stitch types were selected as lockstitch, zig zag stitch, two thread chain stitch, three thread overlock stitch and five thread overlock stitch, and these stitches were sewn at different stitch densities (3 - 4 and 5 stitches / cm), with different sewing threads (spun polyester, core spun (poly / poly), nylon and elastic sewing thread) with different ticket numbers (80 and 120). The stretch and permanent elongation values of the sewn fabric samples were examined.
Using fuzzy logic to evaluate and predict chenille yarn's shrinkage behaviour
(Institute of Chemical Fibres, 2007) Ceven, Erhan Kenan; Özdemir, Özcan; Uludağ Üniversitesi/Mühendislik Fakültesi/Tekstil Mühendisliği Bölümü.; 0000-0003-3283-4117; 0000-0003-2494-6485; B-1488-2019; AAG-4653-2019; 6504089018; 8577587200
In this study, a fuzzy logic system is used to determine the effects of yarn parameters on the boiling shrinkage behaviour of chenille yarns. Chenille yarns are produced with different yarn counts, pile lengths, and twist levels on a chenille yarn machine. In the production of such yarns, the core yarn component is selected as acrylic while the pile yarn component is selected as viscose. The boiling water shrinkage of chenille yarns is measured according to a laboratory test method. Experimental data is used to establish the fuzzy logic model and construct basic principles. According to the results, chenille yarns with higher twist levels and shorter pile lengths have lower shrinkage values, and the yarn count has a significant effect on shrinkage. The comparison of the results obtained from the fuzzy logic model and the experiments shows that there is a strong linear relationship between the measured and predicted yarn shrinkage values.