Evaluation And Application Of Energy And Safety Comprehensive Effects Of Typical Energetic Materials

In recent years, the demands for energetic materials surge due to the development of the national defense industry, space undertakings and civil profession. As the basic ingredients of mixed explosives, pyrotechnics and propellants, energetic materials are possessed with high energy and detonation potential, thus they have great risks in the production, procession and storage process in accordance. With the expansion of their application, the safety issues of energetic materials become increasingly prominent. In this context, mutual discipline and comprehensive effect research on energy and safety aspects of energetic materials are studied in this paper, aiming to improve energy utilization on the premise of ensuring safety.On the basis of literature retrieval and data recollection of physical and chemical parameters and performance qualities, focusing on energy and safety aspects of energetic materials and by adoption of theoretical analysis, statistical principles and comprehensive evaluation methods, single factor analysis of performance and sensitivity of energetic materials is proceeded firstly, in which parameter correlation and prediction modeling studies are carried out and safety overall judgment is conducted as well. The conversion relationship is explored on that portfolio and the synthetic evaluation approach is proposed based on performance and sensitivity charecteristics. Main concrete research contents and conclusions as listed as follows:(1) Energy hazards of energetic materials are discussed in the beginning. Reviews on research status and advances at home and abroad are summarized and literature retrieval is conducted on energy and safety aspects of energetic materials.(2) The characteristics and classification of energetic materials are briefly described. Physical attributes, chemical attributes, thermodynamic parameters, kinetic parameters, detonation qualities and sensitivity properties are introduced. By literature retrieval and recollection, the parameters of65energetic materials of different kinds are obtained.(3) Correlation of performance qualities of energetic materials is explored by the application of parameter correlation method from the viewpoint of energy. Correlation scatter diagram and simple correlation coefficient demonstrate that detonation velocity D corresponds highly with oxygen balance index OB100and density p. Regression analysis is applied to establish the linear regression model of the anaphoric factor lgA and activation energy Ea to prove the kinetic compensation effect of energetic materials of same type in their thermal decomposition process. Then the multiple linear regression and BP neutral network approach are utilized to establish the QSPR prediction models of detonation velocity repsctively. Results show that the selected descriptors of both models can reflect the explosion characteristics and BP neutral network exceeds the traditional linear model in prediction accuracy.(4) Comprehensive sensitivity eigenvalue is analyzed from the viewpoint of safety. Based on the BZA-1method, different weights are assigned to different sensitivity datas on dissimilar test condition. Risk sort of comprehensive sensitivity eigenvalue of12energetic materials is acquired by fussy weighted hierarchical method.(5) Experimental data from several performance and sensitivity tests have been combined after normalization to define a single performance and a safety characteristic term, respectively. This allows evaluating energetic compounds with regard to a well balanced ratio of performance and sensitivity. A graph shows an imaginary border line what has to be interpreted in the sense that high performance is accompanied by an enhanced sensitivity and that an insensitive explosive will not exhibit a top performance.(6) Fussy dynamic clustering evaluation method is proposed to comprehensively assess performance and sensitivity characteristics of energetic materials. Multiple energy and safety indexes are selected for dynamic clustering and optimal threshold value are chosen to flexibly select dynamic results to roundly evaluate the discrepancy of performance and safety of energetic materials.