CHINESE JOURNAL OF ENERGETIC MATERIALS
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第三代含能材料热性能与燃烧反应研究进展
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西安近代化学研究所 含能材料全国重点实验室

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国家自然科学基金(22175140)


Advance of Thermal Decomposition and Combustion Reaction of Third-generation Energetic Materials
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National Key Laboratory of Energetic Materials, Xi′an Modern Chemistry Research Institute, Xi′an 710065, China

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    摘要:

    含能材料燃烧是一个复杂的多阶段过程。通过研究热分解与燃烧反应,建立精准的燃烧反应动力学模型,可有效预测含能材料的热行为,对其合成、生产、运输、贮存及在现代武器装备中的实际应用都有重要意义。相比于传统含能材料,第三代含能材料的能量密度更高,对其热稳定性提出了更高的要求。综述了第三代含能材料,包括离子型含能材料和共价型含能材料的热性能及燃烧研究进展。分别从热分解图谱、热分解路径和机理以及燃烧性能研究三方面,阐述了典型第三代含能材料热性能与燃烧反应研究现状,指出了目前研究存在的不足,并展望了第三代含能材料热行为的研究方向,提出需构建多尺度耦合研究体系:基于新型试验设备的燃烧参数高精度测量、燃烧中间体精准诊断、以及量子化学-机器学习-流体力学跨尺度建模,实现从自由基机理到宏观火焰传播的全链条解析。

    Abstract:

    The combustion process of energetic materials (EMs) is a complex multi-stage process. By studying their thermal decomposition and combustion reactions, establishing precise combustion reaction kinetics models enables effective prediction of the thermal behavior of EMs, which is of significant importance for their synthesis, production, transportation, storage, and practical application in modern weaponry and equipment. Compared to traditional EMs, third-generation EMs exhibit higher energy density, which imposes more stringent requirements on their thermal stability. This review summarizes recent advances in thermal properties and combustion research of third-generation EMs, including both ionic and covalent types. The current research status on thermal properties and combustion reactions of typical third-generation EMs is expounded from three perspectives: thermal decomposition profiles, decomposition pathways/mechanism, and combustion performance. It identifies the shortcomings of the current research and proposes the research direction of the thermal behavior of the third-generation energetic materials. It is proposed to construct a multi-scale coupled research system: high-precision measurement of combustion parameters via novel experimental apparatus, accurate diagnosis of combustion intermediates, and cross-scale modeling combining quantum chemistry-machine learning-fluid mechanics to achieve full-chain analysis from free-radical mechanisms to macroscopic flame propagation.

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刘丁,张言,牛诗尧,等. 第三代含能材料热性能与燃烧反应研究进展[J]. 含能材料,DOI:10.11943/CJEM2025016.

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历史
  • 收稿日期: 2025-01-17
  • 最后修改日期: 2025-07-14
  • 录用日期: 2025-06-24
  • 在线发布日期: 2025-07-10
  • 出版日期: