scholarly journals Effects of Yarn Specification and Yarn Count on the Weight and Drapability of “Akwete” an Ibo Traditional Fabric in Nigeria

2021 ◽  
Vol 08 (07) ◽  
pp. 28-34
Author(s):  
Anucha Hope Ogechukwu ◽  
Yahaya Hadiza T ◽  
Shock Lucy P
Keyword(s):  
Yarn Count

A Computer Simulation Approach for Engineering Air-Jet Spun Yarns

1997 ◽  
Vol 67 (3) ◽  
pp. 223-230 ◽  
Author(s):  
Rangaswamy Rajamanickam ◽  
Steven M. Hansen ◽  
Sundaresan Jayaraman
Keyword(s):  
Computer Simulation ◽  
Computer Simulations ◽  
Fiber Length ◽  
Experimental Investigations ◽  
Simulation Approach ◽  
Air Jet ◽  
Fiber Fineness ◽  
Spun Yarns ◽  
Yarn Count ◽  
Wrap Angle

A computer simulation approach for engineering air-jet spun yarns is proposed, and the advantages of computer simulations over experimental investigations and stand-alone mathematical models are discussed. Interactions of the following factors in air-jet spun yarns are analyzed using computer simulations: yarn count and fiber fineness, fiber tenacity and fiber friction, fiber length and fiber friction, and number of wrapper fibers and wrap angle. Based on the results of these simulations, yarn engineering approaches to optimize strength are suggested.

scholarly journals The Impact of Elongation on Change in Electrical Resistance of Electrically Conductive Yarns Woven into Fabric

Materials ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3390
Author(s):  
Željko Knezić ◽  
Željko Penava ◽  
Diana Šimić Penava ◽  
Dubravko Rogale
Keyword(s):  
Mathematical Model ◽  
Electrical Resistance ◽  
Electrically Conductive ◽  
Textile Materials ◽  
Measurement Results ◽  
Conductive Yarns ◽  
Yarn Count ◽  
As Relationship ◽  
The Impact ◽  
The Mathematical Model

Electrically conductive yarns (ECYs) are gaining increasing applications in woven textile materials, especially in woven sensors suitable for incorporation into clothing. In this paper, the effect of the yarn count of ECYs woven into fabric on values of electrical resistance is analyzed. We also observe how the direction of action of elongation force, considering the position of the woven ECY, effects the change in the electrical resistance of the electrically conductive fabric. The measurements were performed on nine different samples of fabric in a plain weave, into which were woven ECYs with three different yarn counts and three different directions. Relationship curves between values of elongation forces and elongation to break, as well as relationship curves between values of electrical resistance of fabrics with ECYs and elongation, were experimentally obtained. An analytical mathematical model was also established, and analysis was conducted, which determined the models of function of connection between force and elongation, and between electrical resistance and elongation. The connection between the measurement results and the mathematical model was confirmed. The connection between the mathematical model and the experimental results enables the design of ECY properties in woven materials, especially textile force and elongation sensors.

Analyzing the Effect of Fiber, Yarn and Fabric Variables on Bagging Behavior of Single Jersey Weft Knitted Fabrics

2013 ◽  
Vol 8 (3) ◽  
pp. 155892501300800 ◽  
Author(s):  
Mitra Karimian ◽  
Hossein Hasani ◽  
Saeed Ajeli
Keyword(s):  
Optimum Process ◽  
Process Conditions ◽  
Knitted Fabrics ◽  
Yarn Twist ◽  
Fabric Density ◽  
Fabric Structure ◽  
Controllable Factors ◽  
Yarn Count ◽  
The Individual ◽  
Single Jersey

This research investigates the effect of fiber, yarn and fabric variables on the bagging behavior of single jersey weft knitted fabrics interpreted in terms of bagging fatigue percentage. In order to estimate the optimum process conditions and to examine the individual effects of each controllable factor on a particular response, Taguchi's experimental design was used. The controllable factors considered in this research are blending ratio, yarn twist and count, fabric structure and fabric density. The findings show that fabric structure has the largest effect on the fabric bagging. Factor yarn twist is second and is followed by fabric density, blend ratio and yarn count. The optimum conditions to achieve the least bagging fatigue ratio were determined.

An Air Texturing Process for Hybridization of Different Reinforcement Filament Yarns by Commingling Process

2006 ◽  
Vol 532-533 ◽  
pp. 333-336 ◽  
Author(s):  
Bok Choon Kang ◽  
Chathura Nalendra Herath ◽  
Jong Kwang Park ◽  
Yong Hwang Roh
Keyword(s):  
High Performance ◽  
Process Development ◽  
Glass Fibers ◽  
Air Pressure ◽  
Practical Applications ◽  
Advantages And Disadvantages ◽  
Significant Parameter ◽  
Air Jet ◽  
Yarn Count ◽  
Air Nozzle

Carbon, aramid and glass fibers are inherently superior to conventional textile fibers in terms of mechanical properties and other characteristics. However, each material has its inherent advantages and disadvantages and it is usually recommended to hybridize them to fully benefit of their high performance in practical applications to many products. This paper is concerned with an air texturing process for hybridization of different reinforcement filament yarns. A normal air texturing machine was selected for process development and modified to suit testing purposes. The modified process for hybridization was introduced mainly in terms of air-jet nozzles employed in experiments. With the proposed air texturing process machine, three types of air-nozzle were applied to the experimental work. Three different filament materials were employed in experiments and they are carbon (CF), aramid (AF), and glass (GF). As matrix materials, polyether-ether (PEEK), polyester (PES), and polypropylene (PP) were selected and experimented. Hybrid yarns produced form the proposed process was evaluated optically in terms of bulkiness, arranging, breaking, and mixing, respectively. The experimental results were also summarized in terms of relationships between applied air pressure and yarn count, and variation in count. As a whole, it was concluded from the experiments that the proposed texturing process could be successfully applied to the practical hybridization of different reinforcement filament yarns. It was also revealed from the experiments that the air pressure in the proposed process is not a significant parameter on the pressing in terms of yarn count.

scholarly journals STUDI AWAL PEMBUATAN ALAT PENGUKUR TWIST AKTUAL PADA BENANG TEKSTIL MELALUI PEMODELAN MATEMATIK DAN VALIDASI EKSPERIMEN

2019 ◽  
Vol 2 (2) ◽  
pp. 105-112
Author(s):  
Valentinus Galih Vidia Putra ◽  
Andrian Wijayono
Keyword(s):  
Theoretical Approach ◽  
Theoretical Consideration ◽  
Textile Yarn ◽  
Measurement Tool ◽  
Ring Spinning ◽  
Rotor Spinning ◽  
Yarn Count ◽  
Relationship Of ◽  
The Relationship

Pada bidang tekstil, perhitungan nomor benang, Nm, daapt dijabarkan dengan mengetahui besar puntiran (twist) pada benang. Pada penelitian ini pemodelan secara teori untuk menghubungkan antara besar puntiran dan juga nomor benang, baik pada mesin pintal rotor dan juga mesin pintal ring sudah didapatkan dan dikembangkan untuk mendapatkan sebuah pemodelan yang baik dan dapat memperlihatkan besar nilai puntiran nyata benang. pada penelitiann ini rumusan hasil studi sudah divalidasi yang digunakan untuk memperlihatkan hubungan antara nomor benang dan puntiran secara lebih umum menggunakan pendekatan teori. Pada penelitian ini juga telah dirancang suatu alat untuk menghitung puntiran nyata tersebutKata kunci: puntiran nyata ,tekstil ,nomor benang In textile, calculation the yarn count, Nm, can be derived by knowing the twist of yarn. Theoretical consideration for a modeling the relationship of twist and the  yarn count,  both in rotor spinning and ring spinning, has been done and  developed to get a good model to show the actual twist. In this research, the formula has been verified and it has been investigated to show the relationship of twist with yarn count completely by theoretical approach and also it has done fabrication the actual twist measurement tool.   Keywords: actual twist, textile, yarn count

Analysis of Cotton Yarn Count by Fuzzy Logic Model

2021 ◽  
pp. 349-361
Author(s):  
V. Visalakshi ◽  
T. Yogalakshmi ◽  
Oscar Castillo
Keyword(s):  
Fuzzy Logic ◽  
Logic Model ◽  
Cotton Yarn ◽  
Fuzzy Logic Model ◽  
Yarn Count

Variation of Poisson’s ratio of fabrics woven with helical composite auxetic weft yarns in relation to fabric structural parameters

2019 ◽  
Vol 50 (2) ◽  
pp. 149-169
Author(s):  
Asal Lolaki ◽  
Mohsen Shanbeh
Keyword(s):  
Poisson’S Ratio ◽  
Structural Parameters ◽  
Processing Technique ◽  
Poisson's Ratio ◽  
Image Processing Technique ◽  
Weft Yarn ◽  
Warp Yarn ◽  
Dimensional Changes ◽  
Weft Direction ◽  
Yarn Count

Auxetic textiles are defined as textiles with negative Poisson’s ratio. These textiles possess unique properties that render them suitable for special applications. This work aims to investigate the effect of fabric structural parameters such as thread densities, weave design and warp yarn count. Thus, 30 fabric samples were woven at 3 weft and 2 warp densities, respectively. Two warp counts and three weave designs of plain, basket 3/3 and weft-backed satin 6 were used. The samples were uniaxially loaded in weft direction and dimensional changes at various strains levels were evaluated. The evaluation was carried out using the image processing technique based on MATLAB software. The weft yarns used were found to exhibit auxetic behavior at the whole spectrum of the strain level used. The least weft yarn Poisson’s ratio was found to be −0.9. It was established that in general the fabric samples exhibit auxetic effect within the stated range of strain. Additionally, it was concluded that while fabric thread densities together with warp count influence the minimum fabric Poisson's ratio, auxetic behavior of the samples is not dependent on weave design alone. Rather, it was illustrated that the combined effect of weave design in association with stated structural parameters on auxetic feature cannot be ignored.

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