Effect of Geometry on Performance of Interlacer
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Abstract Interlacer is the key part of interlacing technology that is adopted to improve the cohesion between loose multifilaments. Aimed at finding the interlacers with better performance, the present research designed five interlacers that can be classified into round type and cornered type. These five interlacers are different in cross-sectional shapes of yarn channel but are the same in the cross-sectional area. The evaluation of the performance of the interlacer includes the number and the strength of the tangles of the interlaced yarn it produces. Experiments are carried out at various supplied air pressures, yarn speeds and feed ratios. It was found that the interlacer with round cross-sectional shape of yarn channel is capable of producing an interlaced yarn with a large number of tangles and the cornered cross-sectional shape is effective in improving the strength of tangles. Among these five interlacers, the interlacer with an elliptical or an inverse-triangular shape has the best processing performanceKeywords:
Cohesion (chemistry)
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This paper proposes a new method for simulating realistic three-dimensional yarn. Main factors that decide yarn appearance are firstly pointed out through analyzing yarn structure. Secondly, we present a method by using the steps as follows: (1) Building a basic yarn model by means of adopting the NURBS curve to design the yarn cross-sectional shapes and control the centreline of yarn path; (2) Inserting twist effect on the yarn appearance. And then 3DS MAX 2010 is selected to simulate yarn by means of the method described above with the aim to create more realistic geometry for fabrics.
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Abstract Cotton is the most commonly used natural fiber and has a significant contribution to the production of yarn manufacturing. This yarn is subsequently utilized for the production of fabrics, garments, and other textile products. The quality of the end product depends on the selection of an appropriate spinning process and output parameters. Numerous methods and processes are involved in the production of yarn. Ring spinning machine is most commonly used for the production of cotton spun yarn. It is necessary to optimize the process parameters of ring-spun yarn without compromising on quality and production. In this research work; these parameters have been optimized by applying the multiple linear regression analysis. The process parameters (especially spindle speed, twist and yarn diameter) and their effect on yarn quality have been discussed in detail. Total 135 ring-spun yarn samples have been produced under three different levels of spindle speed, twist, and linear density. These yarn samples are categorized as 8 Ne, 16 Ne, and 24 Ne at three different Twist multipliers (3.8, 4.0, and 4.2) and different revolutions per minute of the spindle (9500 rpm, 10500rpm, and 11500 rpm). The models have been designed to predict the quality of ring-spun by utilizing USTER evenness tester data. The Count of yarn, yarn twist, and spindle speed were selected as a predictor. The multiple regression method has been used to find out the relation between the process parameters and yarn quality characteristics. The high values of R 2 (the coefficient of determination) showed the relationships in the prediction model.
Linear density
Process variable
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To study the structure and properties of siro-spun yarn intensively, the spinning process of siro-spun yarn and its speciality are analyzed in this paper. The relationship between yarn and single yarn twists is established. The experimental result verified the relationship between yarn and single yarn twists. Therefore, this expression will be helpful to designing the twists of yarn in engineering practice.
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The yarn property and structure of silk/cotton blended compact yarn as well as the fiber migration and distributing rule in the yarn cross-section are discussed in this paper. The results of tests show that the hairiness of silk/cotton blended compact yarn is reduced remarkably with the yarn strength and evenness improved and the yarn being smooth and compact;the fibers in the yarn are aligned parallel with migrate towards yarn core not distinctly and silk and cotton fibers distributed irregularly in the yarn cross-section.
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Yarn hairiness is usually characterized by the amount of free fibers protruding from the compact yarn body towards the outer yarn surface. Its determining is essential because it influences the post spinning operation and parameters of the textile product. Factors influencing yarn quality, mainly yarn hairiness, are correlated and therefore the conclusions depend on all production conditions. Main aim of this article is to show, how quickly and effectively the statistical methods principal component analysis can be applied to obtain information about similarity of yarn samples behavior and build complex quality criterion for yarn. A set of ring yarns is produced for complex quality analysis. The Zweigle G 567 and Uster Tester 4 are used for yarn hairiness investigation.
Textile
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From the influence of yarn fittings on yarn quality ,this paper analyses and contrasts the experiment results to optimize the technics, enable the yarn eve nness ,and improve the quality index such as yarn hairiness , etc.
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In this paper a reasonable design of the yarn detection passage of capacitance type yarn clearer is put forward based on the analysis of yarn moving characters and the requirements of yarn tension control and of yarn hairiness in cone winding process.It aims at effectively yarn defects clearing and minimized yarn damage.
Tension (geology)
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