CHINESE JOURNAL OF ENERGETIC MATERIALS
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基于支持向量机的Mg/PTFE烟火药燃烧特性预测
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南京理工大学 化工学院,南京理工大学 化工学院,武警工程学院 装备运输系,南京理工大学 化工学院,南京理工大学 化工学院

作者简介:

范磊(1974-),男,讲师,在读博士研究生,主要从事军事化学与烟火技术研究。

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基金项目:

2009年江苏省普通高校研究生科研创新计划项目(CX09B_105Z);国家部委预研基金


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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    摘要:

    为了提高烟火药燃烧特性预测的准确性,采用支持向量机(support vector machine, SVM)理论对镁/聚四氟乙烯(Mg/PTFE)烟火药的燃烧特性进行了预测,并将预测结果与测试结果进行了比较。结果表明,由支持向量机预测模型得到的结果与实验结果基本一致,预测的燃速最大相对误差为9.96%,燃烧温度最大相对误差为9.84%,燃烧热最大相对误差为4.20%。

    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. DOI:10.3969/j. issn.1006-9941.2012.04.004.
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. DOI:10.3969/j. issn.1006-9941.2012.04.004.

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  • 收稿日期: 2011-08-26
  • 最后修改日期: 2012-05-13
  • 录用日期: 2012-02-21
  • 在线发布日期: 2012-07-26
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