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

Chaquet, José M., Carmona, Enrique J. y Corral, Roque . (2012) Using genetic algorithms to improve the thermodynamic efficiency of gas turbines designed by traditional methods. Applied Soft Computing 12(11), 3627–3635 (2012)

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Título Using genetic algorithms to improve the thermodynamic efficiency of gas turbines designed by traditional methods
Autor(es) Chaquet, José M.
Carmona, Enrique J.
Corral, Roque
Materia(s) Informática
Ingeniería Informática
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.
Palabras clave Gas turbine
Thermodynamic efficiency
Genetic algorithm
Throughflow
Number of airfoils
Editor(es) Elsevier
Fecha 2012-11
Formato application/pdf
Identificador bibliuned:95-Ejcarmona-0010
http://e-spacio.uned.es/fez/view/bibliuned:95-Ejcarmona-0010
DOI - identifier http://dx.doi.org/10.1016/j.asoc.2012.06.009
ISSN - identifier 1872-9681
Nombre de la revista Applied Soft Computing
Número de Volumen 12
Número de Issue 11
Página inicial 3627
Página final 3635
Publicado en la Revista Applied Soft Computing 12(11), 3627–3635 (2012)
Idioma eng
Versión de la publicación acceptedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales This is an Accepted Manuscript of an article published by Elsevier in "Applied Soft Computing, 12(11), 3627–3635 (2012)", available at: http://dx.doi.org/10.1016/j.asoc.2012.06.009
Notas adicionales Este es el manuscrito aceptado del artículo publicado por Elsevier en "Applied Soft Computing, 12(11), 3627–3635 (2012)", disponible en línea: http://dx.doi.org/10.1016/j.asoc.2012.06.009

 
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