Optimization of Open-end Rotor Spinning Frame Parameter and Estimation of Relevant Quality Characteristics |
| |
Authors: | Chung-Feng Jeffrey Kuo Chih-Yuan Kao Hsin-Jung Wei |
| |
Affiliation: | 1. Graduate Institute of Automation and Control, National Taiwan University of Science and Technology , Taipei, Taiwan, Republic of China jeffrey@mail.ntust.edu.tw;3. Department of Polymer Engineering , National Taiwan University of Science and Technology , Taiwan, Republic of China |
| |
Abstract: | The high-cleaning Lyocell fibers are used to spin the Ne 32 yarns for an open-end rotor spinning frame. The optimal processing parameters were obtained in demonstrating output speed, stretching roller speed, feed speed and rotor revolution. The quality characteristics, such as yarn count, strength, elongation and Um (%), are far beyond the rating standard of the combed yarn. No yarn breaking for continuous spinning during the experimental confirmation. The result presents lower yarn breaking rate and maintains stabilized output status of spinning conditions. The back propagation neural network was employed for learning, forecast and verification of the processing parameters. |
| |
Keywords: | Back propagation neural network Lyocell fiber OE yarn Open-end rotor spinning frame Taguchi experimental method |
|
|