Article

An Application of Queuing Theory to Modeling of Melange Yarns Part I: A Queuing Model of Melange Yarn Structure

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Abstract

A queuing model of staple fiber yarn is presented that enables the modeling and a better understanding of fiber migration in a yarn. The model provides a fine yarn structure where the migrational behavior of fibers is associated with the behavior of customers traveling across an open network of queuing systems to get services. Based on this analogy, the underlying mathematical foundation of the queuing theory is used for the modeling of yarn structure and properties. The model uses yarn technical specifications including yarn linear density and twist level, fiber linear density and length distribution, together with specific parameters such as fiber packing density distribution and migration probabilities. The model can be used for modeling a wide range of structurally different yarns; examples include marl, mottle and melange yarns, yarns with different levels of hairiness, and yarns produced by various spinning systems. The model can be used for 3D simulation of yarns in computer-aided design systems for textile design and for the prediction of mechanical properties of yarns.

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... This new concept was further advanced in a recent publication (Siewe et al., 2009) where queuing theory is used for a detailed analysis of the behaviour of all fibres in the yarn and fibre distribution over the yarn cross-section. ...
... In the queuing model of a staple yarn structure (Siewe et al., 2009), each virtual location is represented by a queuing system and each fibre is modelled by a customer. The migration of a fibre from one virtual location to a neighbouring virtual location is associated to the movement of a customer from one queuing system to another as discussed in the following section. ...
... The yarn structure formed in this way is considered to be continuous so that there are infinitely many fibres involved. Using these assumptions, the staple fibre yarn structure was modelled as a Jackson open network of queuing systems where each queuing system represents one virtual location (Siewe et al., 2009). Figure 9 shows a simplified model for a yarn with three ring zones. ...
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A project aimed at the 3D simulation of textile yarns from technical specifications was begun in 1993 and attracted support from both industry and research councils to enable the formation of a multi-national team of researchers to come together in the UK. Considerable progress has been made particularly in the simulation of knitting yarn and plain knit fabric. In recent times the team has tackled the problem of simulating mixture coloured yarns sometimes called melange. This has necessitated a more complicated model of yarn structure based on queuing theory which is outlined at the end of the paper. References are provided for readers who wish to learn more of the various theories and models that have been used throughout the course of this project.
... The state of disorder of fibers or filaments fragments has always been one of the basic questions when talking about yarn structure. Many researches related to fiber distribution or fiber tracer technique have been carried out; for instance, (Francois, Sergei, Thomas, & Geoffrey, 2009;Morton & Yen, 1952;Zhang, Chen, & Wan, 2003;Zou et al., 2009). In fact, entropy itself presents the disorder of a system all the time. ...
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... For the former [13][14][15], although it is simple and straight-forward, the measurement accuracy was largely affected by fibres laying on the yarn surface and greater differences in the helix angle were presented in the inside and outside edges of a flexible yarn. For the latter, the tracer fibre technology [7,[16][17][18] is generally used to capture actual images of fibre configuration in a yarn and then processed with the fast Fourier transform for obtaining the main frequency of yarn twist. This method provides more accurate results of yarn actual twist level [17]. ...
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