Effect of Feed Plate to Taker-in Distance of Carding Machine on the Quality of Cotton Card Sliver and CVC Ring-spun Yarn

An agent-aided system (AAS) for improving comprehensive properties of ring spun yarns with the aid of viscosity and surface tension of the agent is reported in this paper. The mechanism of the humidification and friction process of the AAS was investigated, and related experiments were also carried out to verify the mechanism of analysis. The results confirm that the AAS can attach the fiber ends protruding out of a yarn body on the yarn surface and assist in twisting the fiber ends back into the interior of the yarn body, resulting in a significant reduction of the modified ring spun yarn hairiness. Moreover, the yarn hairiness is prominently reduced after the winding process. The experimental results also show that a speed ratio of 1.3 between the rotating speed of the cylinder and the output speed of the yarn leads to the greatest extent of harmful hairiness reduction (34%), which also corresponds to optimal modified yarn tenacity. Meanwhile, the modified ring spun yarns show a tight and smooth appearance, and the yarn evenness has no deterioration. In addition, the AAS is applicable to both cotton and viscose yarns with different yarn counts. Therefore, the AAS can potentially be used to reduce yarn hairiness for ring spun yarns and enhance the quality of ring spun yarns in the textile industry.

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Effect of Electrostatic Web-Cleaner on Card Sliver Quality

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.332-334.447 ◽

2011 ◽

Vol 332-334 ◽

pp. 447-452

Author(s):

Ji Peng Cao ◽

Peng Zi Sun

Keyword(s):

Impurity Content ◽

Short Fiber ◽

Fiber Content ◽

Front Plate ◽

Carding Machine ◽

Card Sliver

To find out the effect of the electrostatic web-cleaner installed on the front plate of carding machine on card sliver quality, the sliver produced under different voltages and gauges of electrostatic plate was tested with Uster AFIS. The results show that card sliver quality can be improved when the gauge and voltage are appropriate. When the gauge is 1 mm, parameters of short fiber content, nep content, impurity content are better at a voltage of 1500 V than those of other voltages; when the gauge is 2 mm, a voltage of 500 V or 3500 V is advantageous to improve the comprehensive quality of card sliver (except for impurity content parameter); when the gauge is adjusted to 3 mm, the impurity content is decreased at 1000 V and the nep content is decreased at 2500 V, but the improvement on card sliver quality is not perfect.

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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

Journal of Engineered Fibers and Fabrics ◽

10.1177/155892501801300209 ◽

2018 ◽

Vol 13 (2) ◽

pp. 155892501801300 ◽

Cited By ~ 1

Author(s):

Furqan Khurshid ◽

Sarmad Aslam ◽

Usman Ali ◽

Amir Abbas ◽

Talha Ali Hamdani ◽

...

Keyword(s):

Quality Parameters ◽

Ring Spinning ◽

Technological Parameters ◽

Fiber Assembly ◽

Yarn Quality ◽

Spun Yarn ◽

Ring Spun Yarn ◽

Spinning Triangle ◽

The Individual

The aim of the present work is to optimize the drafting parameters for ring spinning by using full factorial (23) experimental design. Three drafting parameters of ring spinning each at two levels were chosen for this study. These technological parameters were break draft, size of pin spacer and hardness of rubber cots. It was found from statistical analysis that pin spacer size has a significant effect on yarn unevenness (U %), imperfection index (IPI), hairiness (H) and yarn strength (CLSP) compared to the other two chosen factors. These yarn quality parameters were improved by increasing the spacer size. The increase in spacer size reduces the cohesive forces among the fibers during drafting. The pin between the cradle and the top front roller transfer the individual fibers from the drafted fiber assembly to the spinning triangle without any stretching or accumulation. This yields a more integrated structure and the quality of yarn is improved.

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Observation of Damage of Cotton Fiber in the Processes of Blowing, Cleaning and Carding

E3S Web of Conferences ◽

10.1051/e3sconf/202132003009 ◽

2021 ◽

Vol 320 ◽

pp. 03009

Author(s):

Sanjar Tojimirzaev ◽

Muhammad Sadikov ◽

Shokhruh Rasulov ◽

Javohir Mirzaahmedov ◽

А.F. Plekhanov

Keyword(s):

Quality Indicators ◽

Cotton Fiber ◽

Total Content ◽

Raw Material ◽

Technological Processes ◽

Last Stage ◽

Carding Machine ◽

Card Sliver ◽

Impurities And Defects

The quality of the produced yarn mainly depends on the properties of the raw material, its preparation for spinning, the condition of the equipment, and the preservation of the natural quality of cotton fiber during processing. The question of the number of defects in cotton fiber and their total content is a very important issue for cotton spinning. The non-standardized number of defects in the raw material reduces the quality indicators and yarn yield, which requires additional technological processes; therefore, on the part of production, the requirements for reducing the share of cotton fiber defects are constantly increasing. During processing in blowing and cleaning units and on carding machines, the cotton fiber is mechanically damaged. To observation the damaged fibers, we used the Congo-Roth red paint according to the method of Ch. Dore. Despite the carding is considered the last stage in the process of cleaning the fibers from impurities and defects in the spinning system, 30% of impurities and fiber defects still remain on the card sliver. Besides, it should be noted the carding machine is also considered an additional occurrence of defects, in particular (neps), which reduce the quality indicators of the card sliver and the finished product.

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Regressional Optimizations of Cotton Spun Yarn by Controlling its Process Parameters

10.21203/rs.3.rs-1078837/v1 ◽

2021 ◽

Author(s):

Muhammad Ali Zeeshan ◽

Zamir Ahmed Abro ◽

Abdul Malik Rehan ◽

Ahmer Hussain Shah ◽

Nazakat Ali Khoso ◽

...

Keyword(s):

Process Parameters ◽

Natural Fiber ◽

Linear Regression Analysis ◽

Spindle Speed ◽

Yarn Quality ◽

Yarn Diameter ◽

Yarn Twist ◽

Spun Yarn ◽

Ring Spun Yarn

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 R2 (the coefficient of determination) showed the relationships in the prediction model.

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Study on Front Web Cleaner Suction Form of Carding Machine

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.175-176.514 ◽

2011 ◽

Vol 175-176 ◽

pp. 514-517

Author(s):

Xin Guo ◽

Ming Luo ◽

Peng Zi Sun

Keyword(s):

Short Fiber ◽

Fiber Content ◽

Effective Length ◽

Single Side ◽

Front Plate ◽

Carding Machine ◽

Card Sliver

Effect of web cleaner on front plate suction form of carding machine on the quality of card sliver was studied. The card slivers processed by carding machine with web cleaner installed on the front plate using single and double sides suction forms were tested by Premier aQura. The results show that, when the suction volume is between 120~240m3/h, the range of short fiber content in card sliver is 12.03~14.0% in the single side suction and is 15.6~16.8% in the double sides suction; 5% length of fiber in card sliver is between 34.03~34.04mm in the single side suction and is between 33.64~33.83mm in the double sides suction; effective length of fiber in card sliver is from 29.71mm to 29.80mm in the single side suction and is from 29.52mm to 29.55mm in the double sides suction; total neps in card sliver is between 51~55cnt/g in the single side suction and is between 57~59cnt/g in the double sides suction. Thus it can be seen that under the same suction volume, the front web cleaner with single side suction is more beneficial to improving the quality of card sliver, so it is better for the front web cleaner to use single side suction form.

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Intelligent manufacturing of color blended yarn: Color matching algorithm and manufacturing process through computer numerically controlled ring spinning system

Journal of Engineered Fibers and Fabrics ◽

10.1177/15589250211006539 ◽

2021 ◽

Vol 16 ◽

pp. 155892502110065

Author(s):

Peng Cui ◽

Yuan Xue ◽

Yuexing Liu ◽

Xianqiang Sun

Keyword(s):

Intelligent Manufacturing ◽

Prediction Algorithm ◽

Ring Spinning ◽

Blended Yarn ◽

Spun Yarn ◽

Computer Numerically Controlled ◽

Ring Spun Yarn ◽

High Production ◽

Color Prediction ◽

Textile Products

Yarn-dyed textiles complement digital printing textiles, which hold promise for high production and environmentally friendly energy efficiencies. However, the complicated structures of color-blended yarns lead to unpredictable colors in textile products and become a roadblock to developing nonpollution textile products. In the present work, we propose a framework of intelligent manufacturing of color blended yarn by combining the color prediction algorithm with a self-developed computer numerically controlled (CNC) ring spinning system. The S-N model is used for the prediction of the color blending effect of the ring-spun yarn. The optimized blending ratios of ring-spun yarn are obtained based on the proposed linear model of parameter W. Subsequently, the CNC ring-spinning frame is used to manufacture color-blended yarns, which can configure the constituent fibers in such a way that different sections of yarn exhibit different colors.

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