Optimization of Break Draft, Pin Spacer and Rubber Cots Hardness to Enhance the Quality of Ring Spun Yarn Using Factorial Design

Khurshid, Furqan; Aslam, Sarmad; Ali, Usman; Abbas, Amir; Hamdani, Syed Talha Ali; Hussain, Fiaz

doi:10.1177/155892501801300209

Cited by 8 publications

(6 citation statements)

References 20 publications

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“…The draft quality as well as the ultimate yarn quality is the combined effect of the interaction of these influencing variables with the fibrous material. The optimization of draft zone settings using different modeling and optimization techniques has been the topic of research in last few decades [1][2][3][4][5][6][7][8]. Similar researches had been carried out for the rotor spun yarns [9,10].…”

Section: Introductionmentioning

confidence: 99%

Predictive Modeling of Yarn Quality at Ring Spinning Machine using Resilient Back Propagation Neural Networks

Farooq

Khan

Irshad

et al. 2023

Tekstil Ve Konfeksiyon

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The final attenuation and twisting of fiber take place at ring spinning machine and hence its optimized performance is very crucial in terms of yarn quality. Drafting at ring spinning machine has a decisive effect on quality. There exist many influencing parameters in the spinning geometry that have to be optimized for manufacturing of quality yarn. The present research work was carried out to develop the Artificial neural networks (ANN) based prediction model for the polyester/cotton blended ring spun yarns by using these influencing parameters as inputs. ANN prediction model was developed using resilient backpropogation algorithm. Yarn quality parameters like yarn evenness, hairiness and tensile parameters were predicted. The low mean absolute error values for the yarn quality parameters proved that it is possible to predict the yarn quality on the basis of spinning geometry for cotton/polyester blended ring spun yarns using Resilient Back Propogation Neural Networks.

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Section: Introductionmentioning

confidence: 99%

Predictive Modeling of Yarn Quality at Ring Spinning Machine using Resilient Back Propagation Neural Networks

Farooq

Khan

Irshad

et al. 2023

Tekstil Ve Konfeksiyon

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“…Although the advanced spinning technologies have solved the problem of production and automation to a great extent, the conventional ring spinning dominates the staple yarn spinning techniques due to its high quality, high strength, and flexibility compared to innovative spinning processes [1]- [3]. As ring frame cost comprises a major portion of total cost, the productivity at ring frame has assumed considerable importance and every effort to maximize production at this stage is worth exploring.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Networks to Enhance the Ring Machine Efficiency and Yarn Quality by Determination and Optimization of Dynamic Yarn Tension

Farooq,

Khan,

Awais

et al. 2023

Tekstil Ve Mühendis

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The yarn spinning process involves the interaction of large varieties of variables. The relation between the dynamic yarn tension (DYT), yarn quality, and production efficiency of the spinning frame cannot be established conclusively. Artificial neural network (ANN) is a promising step in this filed. In this research work, ANNs simulation and modeling is applied for the optimization of the DYT n to improve the production efficiency and quality of yarn. The research to date in DYT is insufficient to meet the developmental requirement of the high-speed and efficient ring spinning frame. One of the major problems facing the effective use of the ANN is the correct selection of the input parameters to be fed for the training of ANNs. Data of various input variables such as count, traveler no., spindle speed and dynamic yarn tension etc., was used for ANN modeling and simulation. DYT plays a significant role in the determination of yarn quality and its productivity in terms of end breakage rate. However, it has never been explained in terms of displacement from the original yarn path. This work is aimed to the determination and optimization of DYT at ring spinning frame. The influence of different yarn geometry parameters on DYT, measured by the tensiometer was investigated. The optimized DYT values for the machines, running at different speed and different counts were determined using ANN modeling. It is found that the optimized values predicted from ANN resulted in better quality, high production, and decreased end-breakage at industrial ring spinning frames. By the implementation of ANNs the optimum speed and effective utilization of textile raw materials can be achieved.

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“…The parameters were selected as break draft, pin spacer size and rubber cots' hardness. Statistical analyses indicated that pin spacer size has significant effect on yarn unevenness (U%), imperfection index (IPI), hairiness (H) and yarn strength compared to other two chosen factors [8]. Yılmaz and Uysal improved various nozzles having different injector angles, main hole diameters, injector diameters, number of injectors, nozzle shapes and injector positions in order to reduce hairiness of siro-jet yarns m [9].…”

Section: Introductionmentioning

confidence: 99%

Effect of pın spacer apparatus on the propertıes of knıtted fabrıcs from cotton-tencel yarns

Karakan

2019

Industria Textila

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Yarn quality is an important factor as it directly plays an important role in fabric properties. Among many attempts for improving yarn properties in spinning technologies, pin spacer is one of the developed apparatus which can be mounted separately on the compact spinning unit used for improving the yarn properties especially in terms of yarn evenness and hairiness. Cotton-Tencel blended compact yarns are widely preferred among the textile consumers owing to high comfort feature of Tencel fibers combined with cotton fibers’ unique properties. In this study, cotton (85%) – Tencel (15%) compact yarn samples were produced as yarn groups of combed yarn and carded yarn with utilizing and without utilizing pin-spacer apparatus at a linear density of Ne 40/1. In order to analyze the effect of pin-spacer apparatus on yarn properties, unevenness, imperfections, hairiness (H) and tensile measurements were evaluated. The greige and dyed single jersey plain knitted samples produced from those yarns were also compared in terms of dimensional changes in wale and course direction (%), pilling grades, bursting strength (kPa), air permeability values (mm/s) and the fabric surface color properties. According to test results, using pin-spacer apparatus generally improved carded and combed compact yarns’ some properties as well as some knitted fabric properties made of those yarns.

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Optimization of Break Draft, Pin Spacer and Rubber Cots Hardness to Enhance the Quality of Ring Spun Yarn Using Factorial Design

Cited by 8 publications

References 20 publications

Predictive Modeling of Yarn Quality at Ring Spinning Machine using Resilient Back Propagation Neural Networks

Predictive Modeling of Yarn Quality at Ring Spinning Machine using Resilient Back Propagation Neural Networks

Artificial Neural Networks to Enhance the Ring Machine Efficiency and Yarn Quality by Determination and Optimization of Dynamic Yarn Tension

Effect of pın spacer apparatus on the propertıes of knıtted fabrıcs from cotton-tencel yarns

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