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International Journal of Energetic Materials and Chemical Propulsion
ESCI SJR: 0.142 SNIP: 0.16 CiteScore™: 0.29

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

International Journal of Energetic Materials and Chemical Propulsion

DOI: 10.1615/IntJEnergeticMaterialsChemProp.2011001405
pages 385-396

CREATION OF PROPELLANT COMBUSTION MODELS BY MEANS OF DATA MINING TOOLS

S. V. Abrukov
Moskovsky pr., Department of Thermophysics, 15 Chuvash State University, Cheboksary, 428015 Russia
E. V. Karlovich
Moskovsky pr., Department of Thermophysics, 15 Chuvash State University, Cheboksary, 428015 Russia
V. N. Afanasyev
Moskovsky pr., Department of Thermophysics, 15 Chuvash State University, Cheboksary, 428015 Russia
Yu. V. Semenov
Moskovsky pr., Department of Thermophysics, 15 Chuvash State University, Cheboksary, 428015 Russia
Victor S. Abrukov
Chuvash State University, Cheboksary, Russia

ABSTRACT

The possibilities of data mining tools in particular artificial neural networks (ANN) for modeling and prediction of propellant burning characteristics are presented and discussed. In this paper ANN computational models are created for this purpose. They allow modeling temperature profiles in propellant combustion waves, predicting burning rate of various propellant mixtures for different ranges of pressure and initial temperature, determining propellant mixture providing a necessary burning rate for various pressures, etc. Methods for the creation of such models are discussed and illustrated. The results obtained show that ANN can be considered as a good approximation tool for experimental functions of several variables, for the generalization and prediction of the connections between variables of combustion experiment and theory, as a fast engineering calculator specialized to combustion tasks, for the study of combustion behaviors, as a more affordable way to receive "new" experimental results, and as a good tool to show the experimental results obtained.