Aging Life Prediction Model of Energetic Materials

Because of exposure to natural environment or specific working environment, energetic materials are easily affected by heat, oxygen, light and other factors in the process of processing, storage or use, and are prone to physical or chemical changes, resulting in degradation of material properties and even unusable. Therefore, how to accurately predict the aging life of energetic materials, choose appropriate test methods, and reduce the cost of existing aging test is particularly important. Based on chemical kinetics theory, this paper introduces the internal relationship between material aging performance P, aging time t and aging temperature T, and reviews the mathematical model and calculation method for predicting the safe storage life of energetic materials. Including the commonly used Arrhenius equation, Berthelot equation, modified Arrhenius equation, classical linear relation method, P-t-T mathematical model method, Monte Carlo simulation and other methods, discusses the characteristics and feasibility of mathematical model, establish the program flow of model implementation. It makes preparation for the development of a material aging life prediction software, and also facilitates production practice and improves the prediction efficiency.