Prediction of polyester/cotton blended rotor-spun yarns hairiness based on the machine parameters

Effect of rotor type, rotor diameter, doffing-tube nozzle, and torque-stop on polyester/cotton rotor-spun yarn hairiness have been studied. To model the hairiness of polyester/cotton blended yarn, artificial neural networks and regression models have been used. The results show that there are significant differences in performance of network with different architectures and training algorithms. The network with two hidden layers has the best performance and can predict hairiness with high accuracy. Relative importance of input variables is studied with partial derivatives method based on the optimum network. The results indicate that rotor type and rotor diameter have the greatest and least effect on the blended yarn hairiness

Effects of OE spinning parameters on cotton rotor-spun yarn hairiness

The effect of different spinning parameters on cotton rotor-spun yarns has been studied. Three different groups of variables related to the three main sections of spinning process including the carding (main cylinder speed and licker-in roller speed), the draw-frame (total draft, number of slivers fed into the drafting zone, and distance between rollers of break-draft zone), and the rotor (opening roller speed, rotor speed, navel type, yarn count and yarn twist) have been considered in this investigation. Twenty-nine different samples have been produced and the hairiness tests are carried out using the Shirley method. The results reveal that all the considered variables could significantly affect the yarn hairiness. For reducing number of hairs, the optimum conditions must be applied to the variables, such as  750-800 rpm licker-in speed of carding machine; 51-53 mm distance between drawing rollers in draw-frame; 7500 rpm opening roller speed in rotor-spinning followed by 55000 rpm rotor speed; 17-20 Ne yarn fineness; and 800-900 TPM yarn twist. Moreover, decreasing the main cylinder speed as well as increasing the number of fed slivers to draw-frame, result in hairiness decrement

Study of fiber packing density of lyocell ring-spun yarns

The study of yarn structure and related yarn properties has been the subject of much research. However, the study of the fiber packing density, which has practical significance for a number of yarns and their characteristics, has been limited to circular yarns because of the disordered yarn structure. In this paper, the fiber packing density of lyocell ring-spun yarns is determined with the image analysis method. This method does not have any limitation with regard to the fiber cross-sectional shape. The effect of yarn count, twist factor, spindle speed, traveler weight and front roller diameter on the fiber packing density in the yarn cross-section is analyzed. The results of this paper and the data published in other scientific works are in good agreement. © 2011 The Textile Institute

Developing a new suit sizing system using neural network

Manufacturing garments has the highest added value in the textile industry. Presently, most sizing systems are outdated, so each country needs to develop a new sizing system for its people. The main goal of this work was to present the new sizing chart for Iranian male suites using an artificial neural network. 10 effective sizing variables for producing suits are determined, and then all different body sizes are clustered using the Kohonen neural network. Aggregate loss is used as a tool to measure fitness of the newly obtained sizing chart. The results have a good coverage on Iranian body types, and could be used as a reference for apparel companies in Iran and other companies which produce suit for Iranian males

Effects of OE spinning parameters on cotton rotor-spun yarn hairiness

129-137<span style="font-size:11.0pt;mso-bidi-font-size: 10.0pt;font-family:" times="" new="" roman";mso-fareast-font-family:"times="" roman";="" mso-bidi-font-family:"times="" roman";mso-ansi-language:en-us;mso-fareast-language:="" en-us;mso-bidi-language:ar-sa"="" lang="EN-US">The effect of different spinning parameters on cotton rotor-spun yarns has been studied. Three different groups of variables related to the three main sections of spinning process including the carding (main cylinder speed and licker-in roller speed), the draw-frame (total draft, number of slivers fed into the drafting zone, and distance between rollers of break-draft zone), and the rotor (opening roller speed, rotor speed, navel type, yarn count and yarn twist) have been considered in this investigation. Twenty-nine different samples have been produced and the hairiness tests are carried out using the Shirley method. The results reveal that all the considered variables could significantly affect the yarn hairiness. For reducing number of hairs, the optimum conditions must be applied to the variables, such as  750-800 rpm licker-in speed of carding machine; 51-53 mm distance between drawing rollers in draw-frame; 7500 rpm opening roller speed in rotor-spinning followed by 55000 rpm rotor speed; 17-20 Ne yarn fineness; and 800-900 TPM yarn twist. Moreover, decreasing the main cylinder speed as well as increasing the number of fed slivers to draw-frame, result in hairiness decrement.</span