...::Mehran University Research Journal of Engineering & Technology::...

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Statistical Modeling for the Effect of Rotor Speed, Yarn Twist and Linear Density on Production and Quality Characteristics of Rotor Spun Yarn Keywords: Cotton, Twist; Rotor Speed, Productivity, Open-End Spinning. Mehran University Research Journal of Engineering & Technology Volume 31 , Issue 1 Farooq Ahmed Arain,Anwaruddin Tanwari ,Hafiz-Ur-Rehman Sheikh Abstract The aim of this study was to develop a statistical model for the effect of RS (Rotor Speed), YT (Yarn Twist) and YLD (Yarn Linear Density) on production and quality characteristics of rotor spun yarn. Cotton yarns of 30, 35 and 40 tex were produced on rotor spinning machine at different rotor speeds (i.e. 70000, 80000, 90000 and 100000 rpm) and with different twist levels (i.e. 450, 500, 550, 600 and 700 tpm). Yarn production (g/hr) and quality characteristics were determined for all the experiments. Based on the results, models were developed using response surface regression on MINITAB®16 statistical tool. The developed models not only characterize the intricate relationships among the factors but may also be used to predict the yarn production and quality characteristics at any level of factors within the range of experimental values.

Article Information

Statistical Modeling for the Effect of Rotor Speed, Yarn Twist and Linear Density on Production and Quality Characteristics of Rotor Spun Yarn

Keywords: Cotton, Twist; Rotor Speed, Productivity, Open-End Spinning.

Mehran University Research Journal of Engineering & Technology

Volume 31 , Issue 1

Farooq Ahmed Arain,Anwaruddin Tanwari ,Hafiz-Ur-Rehman Sheikh

Abstract

The aim of this study was to develop a statistical model for the effect of RS (Rotor Speed), YT (Yarn Twist) and YLD (Yarn Linear Density) on production and quality characteristics of rotor spun yarn. Cotton yarns of 30, 35 and 40 tex were produced on rotor spinning machine at different rotor speeds (i.e. 70000, 80000, 90000 and 100000 rpm) and with different twist levels (i.e. 450, 500, 550, 600 and 700 tpm). Yarn production (g/hr) and quality characteristics were determined for all the experiments. Based on the results, models were developed using response surface regression on MINITAB®16 statistical tool. The developed models not only characterize the intricate relationships among the factors but may also be used to predict the yarn production and quality characteristics at any level of factors within the range of experimental values.