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

Abstract:

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

• Periodical: Advanced Materials Research (Volumes 538-541)
• Pages: 1281-1285
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.538-541.1281
• Online since: June 2012
• Authors: Ju Mei Yuan, Yu Xiao Shen, Bin Liu, Min Zhou, Jun Qing Liu
• Keywords: Melt-Spinning Wire Diameter, Pitch Carbon Fiber, Radial Basis Function Neural Network (RBFNN), Stabilization

References

[1] Charles Qing-fang, Zhang Yuzhen, Wu platinum, etc. large diameter fiber spinning mesophase pitch when the shear rate [J]. New Carbon Materials, 2001,16 (2): 14~18.

[2] Dacheng Wu, synthetic fiber melt spinning [M], Beijing: Textile Industry Press, 1980.10

[3] Tadayuki Matsumoto. Mesophase pitch and its carbon fibers. Pure & App. Chem., 1985,57(11):1 553~1562.

DOI: 10.1351/pac198557111553

[4] Shuang Cong, Neural networks, fuzzy systems and its application in motion control in [M]. Hefei: China Science and Technology University Press, 2001.(In Chinese)