Modelling of tension in yarn package unwinding

Praček, Stanislav; Halász, Marianna

doi:10.35530/it.072.03.1683

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the textile industry, ANNs are being used for more than the last two decades and have proved efficient for modeling complex spinning problems [15]- [18]. However, the mathematical modelling, especially for the DYT is based on many assumptions/ideal values like traveler weight is constant, yarn density is constant throughout the length, and the ring friction is uniform throughout its diameter [19]- [23]. In the spinning industry, the DYT is measured manually at the ring frame with the hand or finger.…”

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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…1 When the yarn is unwinding, the quality of the unrolled yarn should not be reduced, unless this reduction does not significantly reduce the quality of the yarn products. 2,3 After unwinding the package, the outer covering yarn is wound and covers on the surface of the core yarn. The unwinding process forms a yarn balloon.…”

mentioning

confidence: 99%

A study on the unwinding tension control of an elastic yarn

Zhang

Feng

Yang

2022

Textile Research Journal

View full text Add to dashboard Cite

During the processing of covered yarn, the stability of the tension of the yarn unwinding from the package directly affects the quality of the covered yarn. In this work, a mathematical model of the yarn unwinding balloon was established, and the influence of Coriolis force and air resistance on the balloon was considered. Further, the balloon shape of the yarn at different unwinding linear speeds was studied. An experimental observation platform for the yarn balloon morphology was built. The comparative analysis of the balloon shape obtained using the experimental observation and the theoretical research results showed that the mathematical model of the yarn unwinding balloon is correct. The phenomenon of scratching the upper edge of the package during the unwinding of spandex should be avoided. Finally, in order to maximize the diameter of the spandex package, the taper of the core yarn bobbin and the minimum yarn guide distance was determined based on the guidance of the theoretical simulations and experimental analysis. The research results provide a design base for the layout and structural dimensions of the follow-up elastic fiber passive precision tension control device.

show abstract

Mathematical modeling of dynamic yarn input tension on circular weft knitting machine with positive storage feeding

Hossain,

Islam

2024

The Journal of The Textile Institute

View full text Add to dashboard Cite

Modelling of tension in yarn package unwinding

Cited by 3 publications

References 0 publications

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

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

A study on the unwinding tension control of an elastic yarn

Mathematical modeling of dynamic yarn input tension on circular weft knitting machine with positive storage feeding

Contact Info

Product

Resources

About