An Alternative Approach for Predicting the Shelf Life of Energetic Materials

IF 3 3区 农林科学 Q2 ECOLOGY Fire-Switzerland Pub Date : 2023-08-25 DOI:10.3390/fire6090333
R. Sanchirico, V. Di Sarli
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Abstract

The shelf life of energetic materials (EMs) is directly associated with safety and functionality. Therefore, a priori knowledge of this parameter is essential. The standard approach for predicting the shelf life of EMs is tremendously time and money consuming. It involves massive accelerated aging tests at temperatures typically between 40 and 80 °C for relatively long time periods—from months to years—with different aging time intervals, followed by analysis of the aging-induced changes. A subsequent kinetic analysis with Arrhenius evaluation provides the effective activation energy for calculating shelf life at lower storage temperatures. In this work, a much less time- and resource-intensive approach based on the kinetic analysis of decomposition data gathered by using thermal analysis techniques is discussed as a possible alternative for the shelf life prediction of EMs. The discussion is placed in the context of the few but promising works of literature on the subject that provide evidence and examples. On the path towards the practical application of this approach, the definition of procedures that allow for a realistic simulation of storage conditions not only in the accelerated aging tests—still needed but limited to the validation of the decomposition kinetics—but also in the thermal analysis experiments is highlighted as one of the main issues to be addressed.
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一种预测含能材料保质期的替代方法
含能材料的保质期与安全性和功能性直接相关。因此,这个参数的先验知识是必不可少的。预测EM保质期的标准方法非常耗费时间和金钱。它包括在40至80°C的温度下进行大规模的加速老化测试,测试时间相对较长,从几个月到几年不等,老化时间间隔不同,然后分析老化引起的变化。随后的动力学分析和Arrhenius评估为计算较低储存温度下的保质期提供了有效活化能。在这项工作中,讨论了一种基于使用热分析技术收集的分解数据的动力学分析的时间和资源密集度低得多的方法,作为EM保质期预测的可能替代方案。本次讨论是在为数不多但很有前途的关于这一主题的文学作品的背景下进行的,这些作品提供了证据和例子。在这种方法的实际应用过程中,不仅在加速老化试验中(仍然需要但仅限于分解动力学的验证),而且在热分析实验中,允许真实模拟储存条件的程序的定义被强调为需要解决的主要问题之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Fire-Switzerland
Fire-Switzerland Multiple-
CiteScore
3.10
自引率
15.60%
发文量
182
审稿时长
11 weeks
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