摘要
复合固体推进剂作为固体火箭发动机的核心功能材料,其组分表征技术直接关联推进剂性能调控、贮存稳定性评估及寿命预测等关键技术环节。随着固体推进剂配方体系呈现高能化和复杂化趋势,传统化学分析方法在检测效率和准确度方面的技术局限性日益凸显。本文系统综述了近十年复合固体推进剂组分快速表征技术的应用进展,重点探讨色谱法、极谱法、光谱法等现代仪器分析方法的技术特征,并剖析机器学习算法在光谱数据解析中的创新应用。基于当前技术瓶颈,从联用技术的高通量和自动化、便携式快速检测仪器的开发与应用、人工智能与快速检测技术的深度融合、人工智能与标准谱库的协同构建、复合型人才培养体系五个维度,展望未来复合固体推进剂组分快速检测技术的发展路径。
Composite solid propellants are essential functional materials for solid rocket motors,and the characterization of their components is directly linked to critical technical aspects such as propellant performance regulation,storage stability assessment,and lifespan prediction.As the formulation systems of solid propellants exhibit increasing complexity and energy density,the technical limitations of traditional chemical analysis methods regarding detection efficiency and accuracy have become increasingly evident.This paper provides a systematic review of the advancements in rapid component characterization technologies for composite solid propellants over the past decade.It focuses on the technical features of modern instrumental analysis methods,including chromatography,polarography,and spectroscopy,while also analyzing the innovative applications of machine learning algorithms in the interpretation of spectral data.Based on the current technical bottlenecks,this paper envisions the future development path for rapid component detection technology in composite solid propellants through five dimensions:enhancing high-throughput and automation in integrated technologies;advancing the development and application of portable rapid detection instruments;fostering the deep integration of artificial intelligence with rapid detection technology;collaboratively constructing standard spectral libraries utilizing artificial intelligence;and cultivating a comprehensive talent development system.
作者
马天著
张宇
马赫迪
孙旭宏
MA Tianzhu;ZHANG Yu;MA Hedi;SUN Xuhong(National Key Laboratory of Aerospace Chemical Power,Inner Mongolia Research Institute of Synthetic Chemical Industry,Hohhot 010010,China)
出处
《固体火箭技术》
北大核心
2025年第4期524-534,共11页
Journal of Solid Rocket Technology
基金
国家级项目。
关键词
复合固体推进剂
快速检测
机器学习
人工智能
数据优化
composite solid propellant
rapid detection
machine learning
artificial intelligence
data optimization
