Using genetic algorithms to improve the thermodynamic efficiency of gas turbines designed by traditional methods

Authors:
Jose M. Chaquet;Enrique J. Carmona;Roque Corral
Affiliations:
Technology and Methods Dep., Industria de Turbo Propulsores S.A., Avda de Castilla 2, 28830, San Fernando de Henares, Madrid, Spain;Dpto. de Inteligencia Artificial, Escuela Técnica Superior de Ingeniería Informática, Universidad Nacional de Educación a Distancia, Madrid, Spain;Technology and Methods Dep., Industria de Turbo Propulsores S.A., Avda de Castilla 2, 28830, San Fernando de Henares, Madrid, Spain
Venue:
Applied Soft Computing
Year:
2012

Citing 1
Cited 0

Optimizing the number of airfoils in turbine design using genetic algorithms

IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III

Quantified Score

Hi-index	0.00

Visualization

Abstract

A method for optimizing the thermodynamic efficiency of aeronautical gas turbines designed by classical methods is presented. This method is based in the transformation of the original constrained optimization problem into a new constrained free optimization problem which is solved by a genetic algorithm. Basically, a set of geometric, aerodynamic and acoustic noise constraints must be fulfilled during the optimization process. As a case study, the thermodynamic efficiency of an already optimized by traditional methods real aeronautical low pressure turbine design of 13 rows has been successfully improved, increasing the turbine efficiency by 0.047% and reducing the total number of airfoils by 1.61%. In addition, experimental evidence of a strong correlation between the total number of airfoils and the turbine efficiency has been observed. This result would allow us to use the total number of airfoils as a cheap substitute of the turbine efficiency for a coarse optimization at the first design steps.