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Aerospace Instrument-Making

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DEVELOPMENT AND APPLICATION EXPERIENCE OF MODERN TECHNOLOGIES IN PRACTICE OF BENCH TESTING OF VARIOUS ROCKET AND AEROSPACE MACHINERY PRODUCTION
V.I. Kovalyov

The experience of applying simulation and information-measuring technologies in development of continuous wave chemical laser and bench functional diagnostics system of primary bench and impellent parameters of powerful liquid-fuel rocket engines (RD-180, RD-181, RD-191) is presented. The technology of neural network simulation model construction as applied to the task of bench testing optimization of various rocket and aerospace machinery systems and production is considered. An example of neural network models (NNM) forecasting technology application to determination of optimal polymeric fuel additive concentration with the purpose of liquid-fuel rocket engine turbine pump efficiency increase is given. A neural network simulation model of full scope of fuel turbine pump pressure dependencies on fuel consumption and various fuel additive concentrations, that allowed specifying the optimal additive concentration which proved to be three times less than the one resulted from the earlier experimental research, is created. The most effective application fields of computer modeling, including mathematic modeling, simulation and neural network modeling, as applied to the tasks of time consumption and costs decrease of various rocket and aerospace machinery systems and production is suggested.
Key words: simulation, modeling, liquid-fuel rocket engine turbine pump efficiency, polymeric fuel additive, neural network model.

Contacts: E-mail: kovalyov_en@mail.ru

Pp. 43-51.

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