CHINESE JOURNAL OF ENERGETIC MATERIALS
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Combustion Characteristics forecasting of the Mg/PTFE Pyrotechnic Composition Base on Support Vector Machine
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School of Chemical Engineering, Nanjing University of Science & Technology,School of Chemical Engineering, Nanjing University of Science & Technology,Department of Equipment and Transportation, Engineering College of Armed Police Force,School of Chemical Engineering, Nanjing University of Science & Technology,School of Chemical Engineering, Nanjing University of Science & Technology

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    Abstract:

    The combustion characteristics of Mg/polytetrafluorethylene (PTFE) were studied with support vector machine (SVM) method, in order to improve the accuracy of combustion characteristics forecasting for the pyrotechnic composition. The predicted values were compared with that of experiments also. The results show that the predicted and experimental values agree with each other, and this method has high accuracy. The prediction maximum relative errors of the combustion velocity, the combustion temperature and the combustion heat are 9.96%, 9.84%, 4.20% respectively.

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范磊,潘功配,欧阳的华,等.基于支持向量机的Mg/PTFE烟火药燃烧特性预测[J].含能材料,2012,20(4):414-417.
FAN Lei, PAN Gong-pei, OUYANG De-hua, et al. Combustion Characteristics forecasting of the Mg/PTFE Pyrotechnic Composition Base on Support Vector Machine[J]. Chinese Journal of Energetic Materials,2012,20(4):414-417.

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History
  • Received:August 26,2011
  • Revised:May 13,2012
  • Adopted:February 21,2012
  • Online: July 26,2012
  • Published: