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

共 50 条

[21] Radial basis function neural network based on order statistics
Moreno-Escobar, Jose A.
Gallegos-Funes, Francisco J.
Ponomaryov, Volodymyr
de-la-Rosa-Vazquez, Jose M.
MICAI 2007: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2007, 4827 : 150 - +
[22] The Study of Electrocardiograph Based on Radial Basis Function Neural Network
Yang Guangying
Chen Yue
2010 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY AND SECURITY INFORMATICS (IITSI 2010), 2010, : 143 - 145
[23] Pattern Classification Based On Radial Basis Function Neural Network
Zhang, Zhongwei
2020 5TH INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA 2020), 2020, : 213 - 216
[24] MELT SPINNING PITCH-BASED CARBON-FIBERS
EDIE, DD
DUNHAM, MG
CARBON, 1989, 27 (05) : 647 - 655
[25] A variable projection method for the general radial basis function neural network
Zheng, Sanpeng
Feng, Renzhong
APPLIED MATHEMATICS AND COMPUTATION, 2023, 451
[26] An efficient method to construct a radial basis function neural network classifier
Hwang, YS
Bang, SY
NEURAL NETWORKS, 1997, 10 (08) : 1495 - 1503
[27] An OFDM Channel Estimation Method With Radial Basis Function Neural Network
He, Xiaowei
Yang, Ruizhe
Zhang, Jie
Zhang, Yanhua
INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4, 2013, 263-266 : 1142 - 1149
[28] A Novel Hybrid Carbon Price Forecasting Model Based on Radial Basis Function Neural Network
Wang, S.
E, J. W.
Li, S. G.
ACTA PHYSICA POLONICA A, 2019, 135 (03) : 368 - 374
[29] Prediction on light intensity distribution of laser welding melt pool based on radial basis function neural network
Zhang J.
Yang R.
Zhongguo Jiguang/Chinese Journal of Lasers, 2010, 37 (07): : 1856 - 1860
[30] Median radial basis function neural network
Bors, AG
Pitas, I
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1996, 7 (06): : 1351 - 1364

← 1 2 3 4 5 →