scholarly journals Influence of Spinning Parameters and Recovered Fibers from Cotton Waste on the Uniformity and Hairiness of Rotor Spun Yarn

2009 ◽  
Vol 4 (3) ◽  
pp. 155892500900400 ◽  
Author(s):  
Halimi Mohamed Taher ◽  
Azzouz Bechir ◽  
Ben Hassen Mohamed ◽  
Sakli Faouzi

Improving raw material exploitation has become the most important challenge facing scientific and industrial community. In this paper, we have studied the effect of percentage of fibres recovered from cotton wastes and different spinning parameters on the hairiness, the uniformity and the level of irregularity of the rotor yarn. Results indicate that yarn count, rotor parameters (diameter and form) and rotor speed have an effect as significant as waste proportion. With a good choice of spinning parameters, an introduction of 25% on waste in the first passage in the drawing frame does not alter the uniformity and the appearance of rotor yarn.

2017 ◽  
Vol 17 (1) ◽  
pp. 6-11 ◽  
Author(s):  
Hanen Ghanmi ◽  
Adel Ghith ◽  
Tarek Benameur

AbstractThis article provides three models to predict rotor spun yarn characteristics which are breaking strength, breaking elongation and unevenness. These models used noncorrelated raw material characteristics and some processing parameters. For this purpose, five different cotton blends were processed into rotor spun yarns having different metric numbers (Nm10, Nm15, Nm18, Nm22, Nm30 and Nm37). Each count was spun at different twist levels. Response surface method was used to estimate yarn quality characteristics and to study variable effects on these characteristics. In this study, predicting models are given by the analysis of response surface after many iterations in which nonsignificant terms are excluded for more accuracy and precision. It was shown that yarn count, twist and sliver properties had considerable effects on the open-end rotor spun yarn properties. This study can help industrial application since it allows a quality management-prediction based on input variables such as fibre characteristics and process parameters.


1988 ◽  
Vol 58 (11) ◽  
pp. 625-632 ◽  
Author(s):  
B. Neckář ◽  
S. M. Ishtiaque ◽  
L. Švehlová

A mathematical model is suggested for studying the radial packing density of yarn, and the proposed model is used for a comparative study of ring and rotor spun yarns. The results show that rotor spun yarn consists of a smaller number of fibers in the cross section compared to ring spun yarn, which explains the lower strength of rotor yarn. Although the radial packing density of both yarns is non-uniform, that of rotor yarn is nearer the yarn axis and less towards the yarn surface compared to ring spun yarn.


2016 ◽  
Vol 11 (3) ◽  
pp. 155892501601100 ◽  
Author(s):  
Esin Sarioğlu ◽  
Osman Babaarslan

In the textile industry, composite yarns with multifilament cores are used to impart strength. There are various spinning systems to produce composite core-spun yarns. In this study, to determine the effects of filament fineness on yarn characteristics of composite yarns, polyester filaments with medium, fine and micro fiber linear densities were used as the core portion and cotton fiber was used as the sheath material. Yarn samples were manufactured using a modified ring spinning system with four different yarn counts and constant twist factor (ae). The effect of filament linear density on yarn tensile properties, unevenness and imperfections was determined. Yarn evenness and tensile properties were compared with 100% cotton ring spun yarn and to each other. When relative amount of core increases, it was observed that composite yarns had improved tenacity and elongation compared to 100% cotton ring spun yarn. Although filament fineness was found to have a significant effect on the CVm % properties, there was no statistical effect on imperfections other than yarn count parameter.


2015 ◽  
Vol 107 (7) ◽  
pp. 864-872 ◽  
Author(s):  
Babak Yadollah Roudbari ◽  
Safdar Eskandarnejad ◽  
Mohammad Bameni Moghadam
Keyword(s):  

2005 ◽  
Vol 6 (1) ◽  
pp. 164-166 ◽  
Author(s):  
Md. Abul Kalam Azad . ◽  
A.H. Khan . ◽  
S.M. Bader Rahman .

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