DocumentCode :
548383
Title :
Parametric design of rocket engine turbopumps with genetic algorithms
Author :
Burian, R. ; Hetem, A. ; Miraglia, J. ; Caetano, C.A.C.
Author_Institution :
Fac. de Inf. e Adm. Paulista (FIAP), São Paulo, Brazil
fYear :
2011
fDate :
23-27 May 2011
Firstpage :
925
Lastpage :
929
Abstract :
In a rocket engine, the main turbopump parameters must be estimated considering that the power output of the turbine essentially has to equal the power demand of the pump. Considering the properties of the turbine drive gas (specific heat, temperature and other features), the strength limits of the turbine materials, and the likely pressure drop, it is possible to determine the basic dimensions of the blades like pitch line velocity, turbine nozzle outlet velocity, number of rows of blades, turbine type or turbine efficiency. The particular arrangement or geometry of the major turbopump components is related to their selection process. Most propellant pumps have a single-stage main impeller. Usually some design limit is reached which requires one or more iterations, each with a new changed approach or parameter. The present work considers the development of a software tool based on genetic algorithms to assist the determination of the excellent parameters of configuration of turbopumps in engines for liquid propellant rockets. We present results for alcohol/LOX propellant mixture, some discussion on its applications on rocket engines.
Keywords :
blades; design engineering; gas turbines; genetic algorithms; geometry; impellers; mechanical engineering computing; nozzles; parameter estimation; propellants; pumps; rocket engines; software tools; alcohol-LOX propellant mixture; blades; genetic algorithms; geometry; liquid propellant rockets; parameter estimation; parametric design; pitch line velocity; power demand; power output; pressure drop; propellant pumps; rocket engine turbopumps; single-stage main impeller; software tool development; turbine drive gas; turbine materials; turbine nozzle outlet velocity; turbopump components; Engines; Fluids; Genetic algorithms; Pumps; Rockets; Turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MIPRO, 2011 Proceedings of the 34th International Convention
Conference_Location :
Opatija
Print_ISBN :
978-1-4577-0996-8
Type :
conf
Filename :
5967188
Link To Document :
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