[1]谢亮,邓国栋,王伟斌,等.双基火药储存过程中安定剂含量的快速检测技术[J].爆破器材,2022,51(04):40-46.[doi:10.3969/j.issn.1001-8352.2022.04.007]
　XIE Liang,DENG Guodong,WANG Weibin,et al.Rapid Determination of the Content of Stabilizer in Double-Base Propellants during Storage[J].EXPLOSIVE MATERIALS,2022,51(04):40-46.[doi:10.3969/j.issn.1001-8352.2022.04.007]
点击复制

双基火药储存过程中安定剂含量的快速检测技术()
分享到：

《爆破器材》[ISSN:1001-8352/CN:32-1163/TJ]

卷:
51
期数:
2022年04
页码:
40-46
栏目:
爆炸材料
出版日期:
2022-07-08

文章信息/Info

Title:
Rapid Determination of the Content of Stabilizer in Double-Base Propellants during Storage
文章编号:
5672
作者:
谢亮; 邓国栋; 王伟斌; 王照轩
南京理工大学国家特种超细粉体工程技术研究中心（江苏南京，210094）
Author(s):
XIE Liang;  DENG Guodong;  WANG Weibin;  WANG Zhaoxuan
National Special Superfine Powder Engineering Research Center, Nanjing University of Science and Technology(Jiangsu Nanjing, 210094)
关键词:
双基火药; 安定剂含量; 近红外光谱法; 组分模型
Keywords:
double-base propellants;  stabilizer;  nearinfrared reflectance spectroscopy (NIRS);  component model
分类号:
TJ55；TQ562
DOI:
10.3969/j.issn.1001-8352.2022.04.007
文献标志码:
A
摘要:
为解决传统检测方法耗时长、操作复杂等问题，研究了近红外光谱法快速定量检测双芳3双基火药中安定剂含量的可行性。通过分析安定剂的特征光谱区间,得到合适的建模波段。采用不同的光谱预处理方法和选取最佳主因子数优化模型，使用偏最小二乘法建立安定剂的定量校正模型，对模型进行了外部验证。结果表明:使用1 100~ 1 248 nm、1 323~ 1 515 nm波段，采用标准正态变量变化（SNV）预处理原始光谱，主因子数为7时建立的定量校正模型的预测准确性和稳定性较高。校正模型决定系数(R2C)以及交互验证的决定系数(R2CV)分别为0.991和0.987；校正标准偏差（RMSEC）和交互验证的标准偏差（RMSECV）分别为0.065和0.077。使用预测集样品对建立的最佳校正模型进行外部验证，安定剂含量预测值与参考值的平均误差为0.044%。该方法可用于双芳-3双基火药中安定剂含量的快速检测。维也里试验证明，近红外光谱法可以用于评估双芳-3双基火药安定性的好坏。
Abstract:
Given that the disadvantages of traditional detection methods such as time-consuming and complex operation, near-infrared spectroscopy (NIRS) was used to rapidly detection the stabilizer content of SF-3 double-base propellants. Appropriate modeling band was obtained by analyzing the characteristic spectral range of stabilizer. The quantitative correction model of the stabilizer was established by partial least square method after pretreatment of the optimal spectral and determination of the optimal number of principal factors. Finally, the predictability of the developed model was evaluated by external validation. Results show that using 1 100~1 248 nm and 1 323~1 515 nm bands, when the original spectra are pretreated with standard normal variable change (SNV), the quantitative correction model with a principal factor of 7 had high prediction accuracy and stability. The determination coefficient of calibration model (R2C) and the determination coefficient of cross validation (R2CV) are 0.991 and 0.987 respectively. The corrected standard deviation (RMSEC) and cross validation standard deviation (RMSECV) are 0.065 and 0.077 respectively. The average error between the predicted value and the reference value of stabilizer content is 0.044%. This method could be used for the rapid determination of stabilizer content of SF-3 double-base propellants. It can be seen from Vieille test that NIRS can be used as a method to evaluate the stability of SF-3 double-base propellants.

参考文献/References:

［1］CHELOUCHE S, TRACHE D, MAAMACHE I, et al. A new experimental way for the monitoring of the real/equivalent in service time of double base rocket propellant by coupling VST and PCA［J］. Defence Technology, 2021, 17(2): 440-449.
［2］衡淑云, 韩芳, 张林军, 等. 硝酸酯火药安全储存寿命的预估方法和结果［J］. 火炸药学报, 2006, 29(4): 71-76.
HENG S Y, HAN F, ZHANG L J, et al. Estimation method and results of safe storage life for nitrate ester propellants［J］. Chinese Journal of Explosives and Propellants, 2006, 29(4): 71-76.
［3］TRACHE D, TARCHOUN A F. Analytical methods for stability assessment of nitrate esters-based propellants［J］. Critical Reviews in Analytical Chemistry, 2019, 49(5): 415-438.
［4］TRACHE D, TARCHOUN A F. Stabilizers for nitrate ester-based energetic materials and their mechanism of action: a state-of-the-art review［J］. Journal of Materials Science, 2018 (53): 100-123.
［5］THOMAS J C, SAMMET T E, DILLIER C A M, et al. Aging effects on the burning rates of composite solid propellants with nano-additives［J］. Journal of Propulsion and Power, 2019, 35(2): 342-351.
［6］TRACHE D, KHIMECHE K. Study on the influence of ageing on chemical and mechanical properties of N,N′-dimethyl-N,N′-diphenylcarbamide stabilized propellants［J］. Journal of Thermal Analysis and Calorimetry, 2013,111: 305-312.
［7］张丽, 侯少锋, 周竑, 等. 复合固体推进剂老化特征研究进展［J］. 化学推进剂与高分子材料, 2016, 14(2): 1-6.
ZHANG L, HOU S F, ZHOU H, et al. Research progress in aging characteristics of composite solid propellants［J］. Chemical Propellants & Polymeric Materials, 2016, 14(2): 1-6.
［8］KUMAR A, SADAVARTE V S, PANDE S M, et al. Studies on the effect of ageing on thermal, ballistic and mechanical properties of advanced energetic propellants［J］. Propellants, Explosives, Pyrotechnics, 2021, 46(4): 626-635.
［9］唐秋凡, 樊学忠, 李吉祯, 等. 双基系固体推进剂热安定性及安定机理研究进展［J］. 火炸药学报, 2015, 38(4): 5-12.
TANG Q F, FAN X Z, LI J Z, et al. Progress in thermal stability and stability mechanism of doublebase solid propellants［J］. Chinese Journal of Explosives and Propellants, 2015, 38(4): 5-12.
［10］衡淑云, 韩芳, 周继华, 等. 高能发射药有效安定剂消耗反应动力学研究［J］. 含能材料, 2008, 16(5): 494-497.
HENG S Y, HAN F, ZHOU J H, et al. The kinetics of the effective stabilizer consumption reaction in high energy gun propellants［J］. Chinese Journal of Energetic Materials, 2008, 16(5): 494-497.
［11］姜志保, 郑波, 王韶光. 发射药化学安定性检测方法研究［J］. 测试技术学报, 2019, 33(4): 361-364.
JIANG Z B, ZHENG B, WANG S G. Research of testing methods on propellant chemical stability［J］. Journal of Test and Measurement Technology, 2019, 33(4): 361-364.
［12］ALAMU E O, NUWAMANYA E, CORNET D, et al. Near-infrared spectroscopy applications for highthroughput phenotyping for cassava and yam: a review［J］. International Journal of Food Science & Technology, 2021, 56(3): 1491-1501.
［13］DALE L M, THEWIS A, BOUDRY C, et al. Hyperspectral imaging applications in agriculture and agro-food product quality and safety control: a review［J］. Applied Spectroscopy Reviews, 2013, 48(2): 142-159.
［14］YANG R J, LIU C Y, YANG Y R, et al. Two-trace two-dimensional (2T2D) correlation spectroscopy application in food safety:a review［J］. Journal of Molecular Structure, 2020, 1214: 128219.
［15］李芳, 蔺向阳, 陈陈, 等. 近红外光谱法在线检测复合固体推进剂的组分含量［J］. 火工品, 2019 (6): 35-38.
LI F, LIN X Y, CHEN C, et al. The composition content of composite solid propellant real-time detection by NIR spectra［J］. Initiators & Pyrotechnics, 2019 (6): 35-38.
［16］ZHANG G F, WANG Y Y, WANG W B, et al. Rapid online determination of feed concentration in nitroguanidine spray drying process by near infrared spectroscopy［J］. Infrared Physics & Technology, 2020, 109: 103432.
［17］WANG W B, ZHANG G F, XIE L, et al. Fast assay of ethyl acetate content of doublebase oblate spherical propellant after balling process by near-infrared spectroscope［J］. Infrared Physics & Technology, 2021, 112: 103579.
［18］BASSI D, MENEGOTTI L, OSS S, et al. The 3←0 C H stretch overtone of benzene［J］. Chemical Physics Letters, 1993, 207(2/3): 167-172.
［19］TOSI C, PINTO A. Near-infrared spectroscopy of hydrocarbon functional groups［J］. Spectrochimica Acta Part A: Molecular Spectroscopy, 1972, 28(3): 585-597.
［20］IWAMOTO R, NARA A, MATSUDA T. Near-infrared combination and overtone bands of CH in CHX3, CHX2-CHX2, and CHX2-CX2-CHX2［J］. Applied Spectroscopy, 2005, 59(11): 1393-1398.
［21］李尚科, 李跑, 杜国荣, 等. 基于近红外光谱技术和优化预处理方法的不同品牌燕麦无损鉴别分析［J］. 食品安全质量检测学报, 2019, 24(10): 8204-8210.
LI S K, LI P, DU G R, et al. Non-destructive identification of different brands of oats based on nearinfrared spectroscopy and optimized pretreatment methods［J］. Journal of Food Safety and Quality, 2019, 24(10): 8204-8210.
［22］方向, 金秀, 朱娟娟, 等. 基于可见-近红外光谱预处理建模的土壤速效氮含量预测［J］. 浙江农业学报, 2019, 31(9): 1523-1530.
FANG X, JIN X, ZHU J J, et al. Prediction of soil available nitrogen content based on visible and near infrared spectroscopy preprocess and modeling［J］. Acta Agriculturae Zhejiangensis, 2019, 31(9): 1523-1530.
［23］褚小立. 化学计量学方法与分子光谱分析技术［M］. 北京:化学工业出版社, 2011.
CHU X L. Molecular spectroscopy analytical technology combined with chemometrics and its applications［M］. Beijing: Chemical Industry Press, 2011.
［24］ZOU Q, DENG G D, GUO X D, et al. A green analytical tool for in-process determination of RDX content of propellant using the NIR system［J］. ACS Sustainable Chemistry & Engineering, 2013, 1(12): 1506-1510.
［25］NAKAJIMA S, GENKAWA T, MIYAMOTO A, et al. Useful tissues in cabbage head for freshness evaluation with visible and near infrared spectroscopy［J］. Food Chemistry, 2021, 339: 128058.
［26］MINAS I S, BLANCO-CIPOLLONE F, STERLE D. Accurate non-destructive prediction of peach fruit internal quality and physiological maturity with a single scan using near infrared spectroscopy［J］. Food Chemistry, 2021, 335: 127626.

相似文献/References:

[1]司振宽,李权威,杜宇轩.水喷雾对NC-NG双基火药燃烧的抑制作用[J].爆破器材,2023,52(03):39.[doi:10.3969/j.issn.1001-8352.2023.03.006]
　SI Zhenkuan,LI Quanwei,DU Yuxuan.Inhibitory Effect of Water Spray on Combustion of NC-NG Double-Base Gunpowder[J].EXPLOSIVE MATERIALS,2023,52(04):39.[doi:10.3969/j.issn.1001-8352.2023.03.006]

备注/Memo

备注/Memo:
收稿日期：2021-11-12
第一作者：谢亮（1997-），男，硕士研究生，从事复合含能材料的制备及性能研究。E-mail:2695958489@qq.com
通信作者：邓国栋（1965-），男，副研究员，从事复合含能材料的制备及性能研究。E-mail:13505196092@163.com
更新日期/Last Update: 2022-07-06