中国安全科学学报 ›› 2026, Vol. 36 ›› Issue (9): 44-51.doi: 10.16265/j.cnki.issn1003-3033.2026.09.1424

• 安全技术与工程 • 上一篇    下一篇

NH4NO3热分解反应动力学模型

纪文涛(), 卢雨琴, 郭佳俊, 王燕, 张婧月, 许亚北**()   

  1. 河南理工大学 安全科学与工程学院, 河南 焦作 454003
  • 收稿日期:2026-04-23 修回日期:2026-07-20 出版日期:2026-10-20
  • 通信作者:
    ** 许亚北(1991—),男,河南周口人,博士,讲师,主要从事机器学习动力学建模方面的研究。E-mail:。
  • 作者简介:

    纪文涛 (1989—),男,河南周口人,博士,教授,主要从事可燃气粉和粉尘爆炸灾害防治、危险化学品安全等方面的研究。E-mail:。

    王 燕 教授

  • 基金资助:
    国家重点研发计划项目(2022YFC3080700); 河南省科技研发计划联合基金资助(235200810079); 河南省自然科学基金资助(252300421106); 2025年度河南理工大学博士基金资助(B2025-1)

Reaction kinetic modeling of ammonium nitrate thermal decomposition

Ji Wentao(), Lu Yuqin, Guo Jiajun, Wang Yan, Zhang Jingyue, Xu Yabei**()   

  1. College of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo Henan 454003, China
  • Received:2026-04-23 Revised:2026-07-20 Published:2026-10-20

摘要:

为深入揭示NH4NO3的热分解机制,基于热重(TG)试验数据与化学反应神经网络(CRNN)算法,构建2个适用于NH4NO3热分解反应的动力学模型,即3-1模型(3组物质和1个反应)和4-4模型(4组物质和4个反应),预测NH4NO3的TG曲线和热分解过程的物质演化,推测反应路径与中间产物。结果表明:3-1模型得到活化能为98.49 kJ/mol,与试验值基本一致;基于4-4模型构建的反应网络,识别出2条初始反应路径,对应活化能分别为98.02 kJ/mol和139.43 kJ/mol,整个热分解过程涉及NH4+和NO3-间的离子键断裂、氢转移反应、自催化反应及产物间的相互作用,NO2作为关键中间产物参与多条后续反应路径,最终生成NO2、N2O、NO、N2、O2和H2O等气态产物。

关键词: NH4NO3, 热分解, 反应动力学, 化学反应神经网络(CRNN), 反应机制

Abstract:

To deeply reveal the thermal decomposition mechanism of NH4NO3, two kinetic models applicable to the thermal decomposition reaction of NH4NO3, namely the 3-1 model (three species and one reaction) and the 4-4 model (four species and four reactions), are constructed based on thermogravimetric (TG) experimental data and CRNN algorithm. The model can predict the TG curves and the material evolution during the thermal decomposition process of NH4NO3, and infer the reaction pathway and intermediate products. The results show that in the 3-1 model, the calculated activation energy is 98.49 kJ/mol, which is in good agreement with the experimental value. Based on the reaction network constructed using the 4-4 model, two initial reaction paths are identified, with corresponding activation energies of 98.02 kJ/mol and 139.43 kJ/mol, respectively. The entire thermal decomposition process involves the breaking of ionic bonds between NH4+ and NO3-, hydrogen transfer reactions, autocatalytic reactions, and interactions between products. NO2, as a key intermediate product, participates in multiple subsequent reaction paths, ultimately generating substances such as NO2, N2O, NO, N2, O2, and H2O.

Key words: NH4NO3, thermal decomposition, reacting kinetic, chemical reaction neural network (CRNN), reaction mechanism

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