Neural network simulation of the process of detonation of a mixed explosive on the basis of hexide with inert fillers
UDC: 004.94+539.3
DOI: 10.33285/2782-604X-2022-6(587)-41-47
Authors:
MUKHUTDINOV AGLYAM R.
1,
VAKHIDOVA ZULFIYA R.2,
EFIMOV MAXIM G.1
1 Kazan National Research Technological University, Kazan, Russia
2 "TISBY" University of Management, Kazan, Russia
Keywords: artificial neural network, simulation, program module, detonation, mixed explosive, inert fillers
Annotation:
A neural network simulation of the detonation process of a mixed explosive with various inert fillers was studied and shown. It was determined that the value of the detonation velocity strongly depends on the charge density, the nature and amount of the filler. The prediction of the output parameter, in this particular case, the detonation velocity, is clearly demonstrated on a pre-trained network, with a relative error of 0,2 %. A computational experiment was carried out, as a result of which the neural network model determined the values of the input parameters for a mixed explosive based on hexide, which provide the maximum values of the detonation velocity. On the basis of a computational experiment with the developed model, the features of the influence of the charge density of a mixed explosive, the nature of the filler and its quantity on the nature of the change in the detonation velocity are established. Optimal formulations have been proposed to ensure the maximum detonation velocity of mixed explosive charges.
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