Pitch Carbon Fiber Melt Spinning Diameter Stabilization Method Based on Radial Basis Function Neural Network

被引：0

作者：

Yuan, Jumei ^{[1
]}

Shen, Yuxiao ^{[1
]}

Liu, Bin ^{[1
]}

Zhou, Min ^{[1
]}

Liu, Junqing ^{[2
]}

机构：

[1] Taiyuan Inst Technol, Dept Automat, Taiyuan, Shanxi, Peoples R China

[2] Chinese Acad Sci, Inst Coal Chem, Key Lab Carbon Mat, Taiyuan, Shanxi, Peoples R China

来源：

MATERIALS PROCESSING TECHNOLOGY II, PTS 1-4 | 2012年 / 538-541卷

关键词：

Radial basis function neural network; Pitch carbon fiber; Melt-spinning Wire diameter; Stabilization;

D O I：

10.4028/www.scientific.net/AMR.538-541.1281

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In order to control the wire diameter stability for pitch carbon fiber melt-spinning effectively, this can affect the performance of carbon fiber. This paper presents an asphalt carbon fiber melt-spinning wire diameter stabilization method based on radial basis function neural network. Firstly, the relation model that pitch carbon fiber melt-spinning wire diameter, spinning temperature, spinning pressure and spinning roller speed was established through measured data based on radial basis function neural network. Then control the spinning temperature, pressure and spinning rollers speed coordination changes to ensure the stability of spinning wire diameter in spinning process. Finally, we apply this method to our laboratory measured data and compared with existing experience formula. The result shows that the method is feasible and effective

引用

页码：1281 / +

页数：2