Optimizing the number of airfoils in turbine design using genetic algorithms

Authors:
José M. Chaquet;Enrique J. Carmona;Roque Corral
Affiliations:
Technology and Methods Dep., Industria de TurboPropulsores S.A., Madrid, Spain;Dpto. de Inteligencia Artificial, Escuela Técnica Superior de Ingenería Informática, Universidad Nacional de Eduación a Distancia, Madrid, Spain;Technology and Methods Dep., Industria de TurboPropulsores S.A., Madrid, Spain
Venue:
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Year:
2010

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Abstract

A method for optimizing the number of airfoils of a turbine design is presented. The optimization consists of reducing the total number of airfoils meanwhile a set of geometric, aerodynamic and acoustic noise restrictions are fulfilled. It is described how is possible to reduce the problem degrees of freedom to just one variable per row. Due to the characteristics of the problem, a standard Genetic Algorithm has been used. As a case study, a real aeronautical Low Pressure Turbine design of 6 stages has been optimized.