An artificial neural network model of the Chemical Vapor Deposition Processes for Carbon – Carbon composites.

Journal Title: Carbon - Science and Technology - Year 2008, Vol 1, Issue 2

Abstract

A model of artificial neural network (ANN) is developed for the analysis of the correlation between the chemical vapor deposition (CVD) processing parameters and the densification of carbon - carbon (C/C) composites. The input parameters of the ANN model are the manipulative temperature, the density of carbon fiber preforms and the flow rate of acetylene. The output of the ANN model is the density of C/C composites. With the aid of the ANN model, the effects of the CVD processing parameters on the densification of C/C composites are discussed and the relationship between the process conditions and the microstructure of pyrocarbon is discussed as well.

Authors and Affiliations

Jianguo Zhao, Yong Guo, Feng Feng, Jinsheng Jia, Xiaojun Yuan, Wanhua Xue, Haiqing Wang

Keywords

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  • EP ID EP45932
  • DOI -
  • Views 368
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How To Cite

Jianguo Zhao, Yong Guo, Feng Feng, Jinsheng Jia, Xiaojun Yuan, Wanhua Xue, Haiqing Wang (2008). An artificial neural network model of the Chemical Vapor Deposition Processes for Carbon – Carbon composites.. Carbon - Science and Technology, 1(2), -. https://europub.co.uk./articles/-A-45932