Storage Lifetime Prediction of Composite Solid Propellant based on Šesták‐Berggren Model,Propellants, Explosives, Pyrotechnics

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Storage Lifetime Prediction of Composite Solid Propellant based on Šesták‐Berggren Model
Propellants, Explosives, Pyrotechnics ( IF 1.7 ) Pub Date : 2021-02-03 , DOI: 10.1002/prep.202000199
Zhengqiang Pan ₁ , Tianyu Liu ₁

Affiliation

The physical and chemical properties of composite solid propellant during storage period are greatly affected by environmental factors, and the aging mechanism is complicated. In view of the insufficient utilization of test data in the current research and the low accuracy of storage lifetime evaluation model, this paper takes composite solid propellant as the object and makes use of the destructive accelerated storage test data at different temperature levels to carry out storage lifetime prediction research from the perspective of thermal analysis kinetics. Taking the key mechanical performance parameter‐tensile strength as an example, a performance degradation model based on Šesták‐Berggren model (SB(m,n)) is established, and the optimal mechanism index (m,n) is determined according to the Akaike Information Criterion (AIC). Furthermore, the evaluation methods of storage reliability, storage reliable lifetimes and their lower confidence limits are given. Finally, take a certain type of composite solid propellant as an example to verify the model and method of the paper. The results show that the storage lifetime prediction method based on the SB(m,n) model is more accurate and the prediction results are more reliable. A good idea is provided to assess the storage lifetime of composite solid propellant, and it also provides reference for other propellant and explosive storage lifetime prediction.

中文翻译：

基于Šesták-Berggren模型的复合固体推进剂的储存寿命预测

复合固体推进剂在储存过程中的理化性质受环境因素的影响很大，老化机理复杂。鉴于目前研究中测试数据利用不充分以及存储寿命评估模型的准确性较低，本文以复合固体推进剂为对象，利用不同温度水平的破坏性加速存储测试数据进行存储。从热分析动力学角度进行寿命预测研究。以关键的机械性能参数-抗拉强度为例，建立了基于Šesták-Berggren模型（SB（m，n））的性能退化模型，并根据Akaike确定了最佳机械指标（m，n）。信息标准（AIC）。此外，给出了存储可靠性，存储可靠寿命及其较低置信度极限的评估方法。最后，以某类复合固体推进剂为例，验证了本文的模型和方法。结果表明，基于SB（m，n）模型的存储寿命预测方法更加准确，预测结果更加可靠。提供了一个很好的方法来评估复合固体推进剂的储存寿命，它还可以为其他推进剂和炸药储存寿命的预测提供参考。结果表明，基于SB（m，n）模型的存储寿命预测方法更加准确，预测结果更加可靠。提供了一个很好的方法来评估复合固体推进剂的储存寿命，它还可以为其他推进剂和炸药的储存寿命预测提供参考。结果表明，基于SB（m，n）模型的存储寿命预测方法更加准确，预测结果更加可靠。提供了一个很好的方法来评估复合固体推进剂的储存寿命，它还可以为其他推进剂和炸药储存寿命的预测提供参考。

更新日期：2021-03-04

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