Prediction of Nep on Cotton Yarn Produced by Ring Spun Process

摘要：

In this work, we used the statistical and artificial neural network methods to predict the neps of ring spun cotton yarn with ring spinning process parameters. Our results show that the neps of ring spun cotton yarns are determined by the process parameters (front roller speed, spindle speed, nip gauge, back draft zone time, and aperture of guide wire). The results also show that the neps of ring spun cotton yarns with spin can be well predicted. The results show that the ANN model yields more accurate and stable predictions than that of statistical model, which indicates that the ANN theory is an effective and viable modeling method.

关键词： nep ring spun cotton yam statistical model artificial neural network prediction

作者: Bo Zhao

作者单位: College of Textiles, Zhongyuan University of Technology, Henan, Zhengzhou, 450007, China

会议类型: 国际会议

会议名称: The 5th International Conference on Cooperation and Promotion of Information Resources in Science and Technology(第五届科技信息资源共享促进国际会议COINFO10)

会议地点: 北京

会议语种:英文

页码: 245-248

在线出版日期: 2010-11-27（万方平台首次上网日期，不代表论文的发表时间）