CHINESE JOURNAL OF ENERGETIC MATERIALS
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改性B炸药主要组分的近红外光谱检测方法
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作者单位:

1.西安近代化学研究所;2.氟氮化工资源高效开发与利用国家重点实验室

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装备预先研究项目 14021001050201装备预先研究项目(14021001050201)


Detection Method of the Main Components in Modified Composition B by Near Infrared Spectroscopy
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Affiliation:

1.Xi′an Modern Chemistry Research Institute, Xi′an 710065, China;2.State Key Laboratory of Fluorine & Nitrogen Chemicals, Xi′an 710065, China

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    摘要:

    采用近红外光谱技术,研究了改性B炸药近红外光谱快速组分检测方法。采用偏最小二乘法(PLS)建立了主要组分梯恩梯(TNT)和黑索今(RDX)的定量模型。所建模型的交互验证决定系数(R2)分别为0.9611、0.9415,内部交互验证的均方根误差(RMSECV)分别为0.478%、0.501%,外部验证的均方根误差(RMSEP)分别为0.555%、0.521%,表明所建定量模型具有较高的准确度和精密度。用近红外法的测定值与标准分析法的参考值进行t检验的计算结果为tRDX=1.03,tTNT=0.72,均小于临界值t9=2.26(α9=0.05),这表明,近红外光谱法与标准分析法无显著性差异。

    Abstract:

    A rapid component detection method of modified Composition B was studied by near infrared spectrum technology. The quantitative models of main components TNT and RDX were established by partial least squares(PLS)method. Results show that the coefficients of determination of cross-validation (R2)of established models are 0.9611, 0.9415, respectively. The root mean square errors of cross-validation (RMSECV) are 0.478%, 0.501%, respectively, and the root mean square errors of prediction (RMSEP) of external-validation are 555%, 521%, respectively, showing that the established quantitative model has high accuracy and precision. The calculated results of t-test performed by determined values of near infrared method and reference values of the standard analysis method are tRDX=1.03, tTNT=0.72, respectively. Their t values are smaller than the critical value t9=2.26 (α9=0.05), revealing that there is no significant difference between the near infrared spectroscopy and the standard analysis method.

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引用本文

温晓燕,苏鹏飞,潘清,等.改性B炸药主要组分的近红外光谱检测方法[J].含能材料, 2019, 27(2):162-166. DOI:10.11943/CJEM2018120.
WEN Xiao-yan, SU Peng-fei, PAN Qing, et al. Detection Method of the Main Components in Modified Composition B by Near Infrared Spectroscopy[J]. Chinese Journal of Energetic Materials, 2019, 27(2):162-166. DOI:10.11943/CJEM2018120.

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历史
  • 收稿日期: 2018-05-08
  • 最后修改日期: 2018-09-13
  • 录用日期: 2018-07-19
  • 在线发布日期: 2018-09-06
  • 出版日期: 2019-02-25