Studying on the Fiber Diameter of Polypropylene (PP) Spunbonding Fabric By Means of Artificial Neural Network Model and Physical Model

摘要：

In this work, the artificial neural network model and physical model are established and utilized for predicting the fiber diameter of polypropylene(PP) spunbonding nonwovens from the process parameters. The artificial neural network model has good approximation capability and last convergence rate, is used in this research. The results show the artificial neural network model can provide quantitative predictions of fiber diameter and yield more accurate and stable predictions than the physical model, which reveals that the artificial neural network model is based on the inherent principles, and it can yield reasonably good prediction results and provide insight into the relationship between process parameters and fiber diameter.

关键词： artificial neural network model physical model polypropylene spunbonding nonwoven fiber diameter process parameter

作者: B.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 3rd Conference of Cross-Strait Engineering Education and Ceeusro & 1st International Conference on Engineering Technologies and Ceeusro(ICETC2009)(第三届工程技术与产学研研讨会暨第一届国际功能制造技术学术会议)

会议地点: 常州

会议语种:英文

页码: 356-360

在线出版日期: 2009-11-19（万方平台首次上网日期，不代表论文的发表时间）