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Characterization of high-pressure fuel hose with braided reinforcement 编织增强高压燃油软管的特性
IF 0.6 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2022-05-23 DOI: 10.32710/tekstilvekonfeksiyon.1018582
M. Ertekin, G. Ertekin, Gökçe Baki̇ler, İrem SEÇKİN İŞCAN, S. Erden
This study aims to investigate the effect of material type and braiding angle on the performance characteristics of the reinforced multi-layered hose, to manufacture a high-pressure fuel hose. For this purpose, NBR (Acrylo-Nitrile Butadiene rubber)/CPE (chlorinated polyethylene) fuel hose was manufactured using a single-screw extruder and for the production of the reinforcement layer, braiding technology was used. With an attempt to discuss the effect of braiding angle on the performance characteristics of the reinforced multi-layered hose, the speed of the radial braiding machine was altered. E-glass, aramid, carbon, polyester, and basalt yarns were used for the production of the braided layer. Then CPE (chlorinated polyethylene) rubber was extruded for the cover application. Performance properties of the fuel hose such as hardness, ply adhesion, vacuum collapse bursting pressure, and diametric expansion were measured and evaluated according to the requirements of the related standards. The results revealed that, with increased braiding speed, ply adhesion, vacuum collapse, and diametric expansion properties of hoses increase, while hardness, permanent deformation, and bursting pressure of hoses decrease. It has been determined that NBR/Basalt/CPE fuel hose produced in 4m/min braiding speed provided optimum functional and adhesion properties, because of its hardness, permanent deformation, bursting, and vacuum test values at 25°C are within the limit. Additionally, the results were verified by running finite element analysis (FEA) using the ANSYS simulation program.
本研究旨在研究材料类型和编织角度对增强多层软管性能特性的影响,以制造高压燃料软管。为此,使用单螺杆挤出机制造NBR(丙烯腈-丁二烯橡胶)/CPE(氯化聚乙烯)燃料软管,并使用编织技术生产增强层。为了探讨编织角度对增强多层软管性能的影响,改变了径向编织机的速度。E-玻璃、芳纶、碳素、聚酯和玄武岩纱线用于生产编织层。然后挤出CPE(氯化聚乙烯)橡胶用于覆盖物应用。根据相关标准的要求,测量和评估了燃料软管的性能,如硬度、层间附着力、真空破裂破裂压力和直径膨胀。结果表明,随着编织速度的提高,软管的层间粘附力、真空塌陷和径向膨胀性能都有所提高,而软管的硬度、永久变形和爆裂压力则有所降低。已经确定,以4m/min编织速度生产的NBR/玄武岩/CPE燃料软管提供了最佳的功能和粘合性能,因为其硬度、永久变形、爆裂和25°C下的真空测试值都在极限范围内。此外,通过使用ANSYS仿真程序进行有限元分析(FEA)来验证结果。
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引用次数: 0
An Investigation of Sensorial Comfort in Women’s Blouses 女式衬衫的感官舒适性研究
IF 0.6 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2022-05-10 DOI: 10.32710/tekstilvekonfeksiyon.952132
Ebru Akgün, Esen Çoruh
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引用次数: 0
The Usage of Carbon-Based Filament Yarns in Different Forms in the Design of Textile Reinforced Concrete Structures 不同形式碳基长丝在纺织钢筋混凝土结构设计中的应用
IF 0.6 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2022-05-10 DOI: 10.32710/tekstilvekonfeksiyon.1037626
Mutlu Kurban, O. Babaarslan, I. H. Cagatay
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引用次数: 0
Usage of UV-Curable Soybean Oil Based Coating Formulations for Pretreated Cotton Fabrics 紫外光固化大豆油基涂料在预处理棉织物上的应用
IF 0.6 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2022-05-09 DOI: 10.32710/tekstilvekonfeksiyon.940434
Z. Yildiz
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引用次数: 1
Investigation of Auxetic Performance and Various Physical Properties of Fabrics Woven with Braid Yarns 编织纱织物的增塑性及各种物理性能的研究
IF 0.6 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2022-05-01 DOI: 10.32710/tekstilvekonfeksiyon.1033681
Mine Akgün, Fatih Süvari, R. Eren, Tuğba Yurdakul
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引用次数: 0
Effects of age, body region and mineral contents on the fleece characteristics of Central Anatolian Merino sheep 年龄、体区和矿物质含量对安纳托利亚中部美利奴羊羊毛特性的影响
IF 0.6 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2022-04-26 DOI: 10.32710/tekstilvekonfeksiyon.946761
S. Behrem, M. Keskin, S. Gül, E. Ünay, A. Erisek
The fibre characteristics of fleece determine its fate through the textile industry. Parameters such as diameter, length, elasticity and strength define the functional quality of fleece. Therefore, the aim of the present study was to investigate effects of different environmental factors as well as wool mineral contents on fleece fibre quality traits in Central Anatolian Merino sheep (CAM). Additionally, the mineral contents of CAM fleece were investigated. For this purpose, 300 samples were equally collected from 3 different body regions (shoulder, rib and rump) of 100 animals from five different age groups. Samples were analysed for fibre quality (diameter, length, elasticity and strength) traits and mineral contents (calcium, iron, potassium, magnesium, copper, manganese and zinc). A wide range of statistical relationships were found among the focused traits and those factors. The findings of this study highlight the importance of minerals as well as environmental factors on fleece qualityparameters.
羊毛的纤维特性通过纺织工业决定了它的命运。羊毛的直径、长度、弹性和强度等参数决定了羊毛的功能质量。因此,本研究旨在探讨不同环境因素及羊毛矿物质含量对安纳托利亚美利奴绵羊(CAM)羊毛纤维品质性状的影响。此外,还对CAM羊毛的矿物质含量进行了研究。为此,从5个不同年龄组的100只动物的3个不同身体部位(肩部、肋骨和臀部)平均收集了300个样本。分析了样品的纤维质量(直径、长度、弹性和强度)特征和矿物质含量(钙、铁、钾、镁、铜、锰和锌)。重点性状与这些因素之间存在广泛的统计关系。本研究结果强调了矿物质和环境因素对羊毛质量参数的重要性。
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引用次数: 2
The Relief Effects of Thermoplastic Structured-Shrunken Yarns on Woven Fabrics 热塑性结构收缩纱对机织物的疏解作用
IF 0.6 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2022-04-19 DOI: 10.32710/tekstilvekonfeksiyon.840465
Elif Kurtuldu, Nesrin Önlü
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引用次数: 0
Optimizing the Material-Product Transformation Processes in the Clothing Manufacturing Line 服装生产线物料-产品转化过程的优化
IF 0.6 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2022-04-17 DOI: 10.32710/tekstilvekonfeksiyon.988251
Mehmet KÜÇÜK, Meral Isler, Mücella Güner
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引用次数: 0
CNN-based fabric defect detection system on loom fabric inspection 基于cnn的织物疵点检测系统在织机织物检测中的应用
IF 0.6 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2022-04-17 DOI: 10.32710/tekstilvekonfeksiyon.1032529
M. F. Talu, Kazım Hanbay, Mahdi HATAMİ VARJOVİ
Fabric defect detection is generally performed based on human visual inspection. This method is not effective and it has various difficulties such as eye delusion and labor cost. To deal with these problems, machine learning, and computer vision-based intelligent systems have been developed. In this paper, a novel real-time fabric defect detection system is proposed. The proposed industrial vision system has been operated in real-time on a loom. Firstly, two fabric databases are constructed by using real fabric images and defective patch capture (DPC) algorithm. Thanks to the novel developed fast Fourier transform-based DPC algorithm, defective texture areas become visible and defect-free areas are suppressed, even on complex denim fabric textures. Secondly, an appropriate convolution neural networks (CNN) model integrated negative mining is determined. However, traditional feature extraction and classification approaches are also used to compare classification performances of deep models and traditional models. Experimental results show that our proposed CNN model integrated negative mining can classify the defected images with high accuracy. Also, the proposed CNN model has been tested in real-time on a loom, and it achieves 100% detection accuracy.
织物缺陷检测通常是基于人眼视觉检测。该方法效果不佳,且存在眼错觉、人工成本等诸多困难。为了解决这些问题,机器学习和基于计算机视觉的智能系统得到了发展。本文提出了一种新型的织物疵点实时检测系统。所提出的工业视觉系统已在一台织机上实现了实时运行。首先,利用真实织物图像和缺陷补丁捕获(DPC)算法构建两个织物数据库;由于新开发的基于傅立叶变换的快速DPC算法,即使在复杂的牛仔织物纹理上,缺陷纹理区域也能被发现,而无缺陷区域被抑制。其次,结合负挖掘确定合适的卷积神经网络(CNN)模型;然而,传统的特征提取和分类方法也用于比较深度模型和传统模型的分类性能。实验结果表明,我们提出的CNN模型集成了负挖掘,可以对缺陷图像进行高准确率的分类。同时,本文提出的CNN模型在一台织机上进行了实时测试,检测准确率达到100%。
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引用次数: 2
Development of Temperature and pH Responsive Smart Cotton Fabrics by P(NIPAM–co-MAM) Copolymer Finishing P(NIPAM-co-MAM)共聚整理对温度和pH响应的智能棉织物的开发
IF 0.6 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2022-04-12 DOI: 10.32710/tekstilvekonfeksiyon.979303
Sena Demirbağ Genç, Sennur Alay Aksoy
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引用次数: 0
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