CHINESE JOURNAL OF ENERGETIC MATERIALS
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PBX炸药热分解参数的预测模型构建与应用
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作者单位:

1.中国工程物理研究院化工材料研究所, 四川 绵阳 621999;2.重庆邮电大学先进制造工程学院, 重庆市 南岸区 400065

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国家自然科学基金(12202415, 12472371)


Development and Application of a Prediction Model for Thermal Decomposition Parameters of PBX Explosives
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Affiliation:

1.Institute of Chemical Materials, China Academy of Engineering Physics, Mianyang 621999, China;2.School of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

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    摘要:

    为实现慢烤模型在炸药配方与装药行为全链条预测,并消除点火后温度场数值“奇点”问题,采用多组分参数拟合模型,对聚合物粘结炸药PBX-9501、PBX-9502及新型PBX-4的热分解响应与慢烤特性进行了系统性研究。通过构建组分参数驱动的全过程模拟框架,建立基于Arrhenius反应动力学与JWL产物气体状态方程的多物理场耦合模型,实现从炸药热分解初态到壳体破裂终态的全过程数值表征。研究结果表明:PBX-9501和PBX-9502的点火时间模拟值与已有实验数据误差分别为3.4%和5.7%,验证了模型的可靠性;PBX-4的爆响时间预测值与验证实验均值误差仅为2.3%,验证了模型的泛化能力。通过动态调控产物气体状态参数,成功将爆炸温度稳定在3328~3502 K的合理区间,解决了已有纯固体烤燃模型中的点火后温度场“奇点”问题。

    Abstract:

    To overcome the limitations of conventional cook-off models in full-chain prediction of explosive formulations and charge behaviors while eliminating post-ignition temperature field singularities, a multi-component parameter fitting model was systematically applied to investigate the thermal decomposition response and cook-off characteristics of polymer-bonded explosives (PBX-9501, PBX-9502, and novel PBX-4). A component parameter-driven full-process simulation framework was established through coupled multi-physics modeling integrating Arrhenius reaction kinetics with the JWL product gas equation of state, enabling numerical characterization from initial thermal decomposition to final casing rupture. Validation results demonstrated that ignition time prediction errors for PBX-9501 and PBX-9502 were 3.4% and 5.7% respectively compared with experimental data. Ignition time deviation for PBX-4 prediction reached 2.3% against validation experiments. Dynamic regulation of product gas parameters stabilized explosion temperatures within 3328-3502 K, effectively resolving temperature singularity issues inherent in traditional solid-phase cook-off models.

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曹落霞,王浩,周天宇,等. PBX炸药热分解参数的预测模型构建与应用[J]. 含能材料,DOI:10.11943/CJEM2025014.

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  • 收稿日期: 2025-01-15
  • 最后修改日期: 2025-04-07
  • 录用日期: 2025-04-07
  • 在线发布日期: 2025-04-09
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