基于红外吸收光谱的NEPE推进剂贮存寿命无损监测

Non-destructive monitoring of storage life for NEPE propellant based on infrared absorption spectroscopy

硝酸酯增塑聚醚(NEPE)推进剂在老化过程中释放的混合气体组分复杂,红外吸收光谱技术利用氮氧化物的“指纹谱线”避免了多组分混合气体在测量过程中的交叉干扰,实现了气体浓度的无损实时测量,验证了氮氧化物浓度与安定剂含量动态变化的关联关系。加速老化实验结果表明,NO 2浓度在安定剂接近耗尽时会急剧增加,可作为NEPE功能寿命终止的表征气体;N 2O的浓度累积增量与安定剂消耗量正相关,是NEPE剩余贮存寿命的表征气体之一。此外,NEPE老化过程释放的气体中,部分烃类气体的浓度也与安定剂消耗量正相关,这为采用神经网络框架开展NEPE推进剂寿命预测模型研究的可行性提供了实验基础,从而促进机器学习与推进剂研究领域的交叉学科发展。

The mixed gas compositions released during the aging process of nitrate ester plasticized polyether(NEPE)propellant are complex.Infrared absorption spectroscopy utilizing the“Fingerprint Spectra”of nitrogen oxides realizes non-destructive real-time measurement of gas concentrations,avoiding cross-interference of multiple components in the measurement process.The correlation between the concentration of nitrogen oxides and the stabilizer content was verified.Accelerated aging experiments reveal that the concentration of nitrogen dioxide sharply increases when the stabilizer is close to depletion,which can be used as a characterization gas for the end of NEPE functional life.The accumulated increment in nitric oxide concentration is positively correlated with stabilizer consumption,which is one of the characterization gases for the remaining storage life of NEPE.In addition,the concentration of some hydrocarbon gases released during the aging process of NEPE is also positively correlated with stabilizer consumption.This provides an experimental basis for the feasibility of developing a neural network framework for NEPE propellant life prediction models,thus promoting interdisciplinary development between machine learning and propellant research.