Application of artificial neural network technique in modifying carbon-carbon composites

Xinxing Tan Cailiao/New Carbon Materials

Volumn 19, Issue 4, 2004, Pages 275-280

  Chen, Qiang ^a   Li, He Jun ^a   Li, Ai Jun ^a   Sun, Guo Ling ^a   Li, Ke Zhi ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Artificial neural network; Burning rate; Carbon carbon composites; Levenberg Marquard algorithm; Matrix modification

Indexed keywords

ADDITIVES; ALGORITHMS; ERRORS; MATHEMATICAL MODELS; MODIFICATION; NEURAL NETWORKS; OXIDATION RESISTANCE;

ADDITIVE CONTENTS; ARTIFICIAL NEURAL NETWORK; BURNING RATE; LEVENBERG MARQUARD ALGORITHM; MATRIX MODIFICATION;

CARBON CARBON COMPOSITES;

EID: 14744283573     PISSN: 20971605     EISSN: 18725805     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. LI He-jun. Carbon/carbon composites[J]. New Carbon Materials, 2001, 16(2): 79-80.
2. HAN Hong-mei, ZHANG Xiu-lian, LI He-jun, et al. Mechanical behaviors of carbon/carbon composites under the high-temperature [J]. New Carbon Materials, 2003, 18(1): 20-24.
3. DENG Hai-jin, LI Ming, SUN Li, et al. Influence of graphitization treatment on the characteristic of magnetoresistance of carbon/carbon composites[J]. New Carbon Materials, 2003, 18(2): 89-94.
4. 4C-SiC/C composites with self-healin properties at high temperatures I. Isothermal oxidation behavior of the composite[J]. New Carbon Materials, 1998, 13(1): 2-6.
5. 4C-SiC/C composites with self-healin properties at high temperatures II. Relationship between oxidation resistance and structure variation of the composites during oxidation [J]. New Carbon Materials, 1998, 13(2): 5-10.
6. CHEN Qiang, LI He-jun, LI Ke-zhi, et al. Neural network simulation on effect burning rate of modified carbon/carbon composites[J]. Journal of Xi'an Jiaotong University, 2003, 37S(3): 249-251.
7. XU Zhi-huai, LI He-jun, JIANG Kai-yu. A neural network model for silicon carbide coating fabrication on surface of C/C composites [J]. Journal of Inorganic Materials, 2000, 15(3): 511-515.
8. QI Le-hua, YANG Fang, HOU Jun-jie. Application of artificial neural network in material engineering [J]. Mechanical Science and Technology, 1999, 18(1): 114-116.
9. ZHANG Jun, WANG Nan, WEI Bing-bo, et al. An application of stochastic fuzzy neural network to rapid solidification[J]. Journal of Northwestern Poly technical University, 2000, 18(2): 336-339.
10. HE Xin-gui, LIANG Jiu-zhen, XU Shao-hua. Learning and applications of procedure neural network[J]. Engineering Science, 2001, 3(4): 31-35.
11. Philip C L, Chen Yang-Cao, Le Clair S R. Materials structure-property prediction using a self-architecting neural network [J]. Journal of Alloys and Compounds, 1998, 279: 30-38.
12. Kamarthi S V, Pittner S. Accelerating neural network training using weight extrapolations[J]. Neural Networks, 1999, 12: 1285-1299.
13. LI Ai-jun, LI He-jun, LI Ke-zhi, et al. Modeling of CVI process in fabrication of carbon/carbon composites by an artificial neural network[J]. Science in China (Series E), 2003, 33(3): 209-216.
14. CUI Hong, SU Jun-ming, LI Rui-zhen, et al. On improving anti-ablation property of multi-matrix C/C composites to withstand 3700 K[J]. Journal of Northwestern Polytechnical University, 2000, 18(4): 669-673.
15. ZHU Xiao-qi, YANG Zheng, KANG Mo-kuang, et al. Effect of matrix modification on the oxidation resistance of carbon/carbon composites[J]. Journal of Northwestern Polytechnical University, 1994, 12(4): 209-216.
16. Mckee D W. Oxidation behavior of matrix-inhibited carbon/carbon composites[J]. Carbon, 1990, 28(3): 136-140.
17. ZHANG Wei-gang, CHANG Hui-ming, ZHOU Long-shan, et al. Self-healing behavior of nano-ceramics/carbon composites during oxidation [J]. Chinese Journal of Materials Research, 1997, 11(5): 487-490.