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International Journal of Energetic Materials and Chemical Propulsion
ESCI SJR: 0.28 SNIP: 0.421 CiteScore™: 0.9

ISSN Druckformat: 2150-766X
ISSN Online: 2150-7678

International Journal of Energetic Materials and Chemical Propulsion

DOI: 10.1615/IntJEnergeticMaterialsChemProp.v7.i5.20
pages 373-382

APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR CREATION OF "BLACK BOX" MODELS OF ENERGETIC MATERIALS COMBUSTION

Victor S. Abrukov
Chuvash State University, Cheboksary, Russia
G. I. Malinin
Chuvash State University, Cheboksary
M. E. Volkov
Chuvash State University, Cheboksary
D.N. Makarov
Chuvash State University, Cheboksary, Russia
P. V. Ivanov
Chuvash State University, Cheboksary, Russia

ABSTRAKT

The possibilities of artificial neural networks (ANN) technologies for modeling and characteristics prediction of energetic materials burning are discussed. For the first time, the "black box" computational model of burning characteristics prediction for a propellant is created. It allows one to predict the temperature profiles in propellant combustion waves by means of data about heat of combustion, burning rate, and pressure. Another kind of "black box" computational model is also discussed, which allows one to determine a propellant mixture providing a necessary burning rate for various pressures. Methods for the creation of such models are discussed. The examples of ANN being used for the temperature profile prediction for nitrocellulose and ammonium perchlorate based composite propellants under various experimental conditions are presented.

REFERENZEN

  1. Ablameyko, S., Goras, L., Gori, M., and Piuri, V., Neural Networks for Instrumentation, Measurement and Related Industrial Applications.

  2. BasegroupLabs: http://www.basegroup.ru/english.htm.

  3. Zenin, A.A., Thesis on a Scientific Degree of the Doctor of Sciences.

  4. Zenin, A.A., Physical Processes for Combustion and Explosion.

  5. Lewis, B., Pees, R.N., and Taylor, H.S., Processes of Combustion.


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