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Aerodynamic Optimization of Industrial Fan Blade Cascades

[+] Author Affiliations
O. Lotfi, J. A. Teixeira, P. C. Ivey

Cranfield University, Cranfield, Bedfordshire, UK

G. Sheard, I. R. Kinghorn

Flakt Woods, Ltd., Colchester, Essex, UK

Paper No. GT2005-68385, pp. 1059-1066; 8 pages
  • ASME Turbo Expo 2005: Power for Land, Sea, and Air
  • Volume 6: Turbo Expo 2005, Parts A and B
  • Reno, Nevada, USA, June 6–9, 2005
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 0-7918-4730-6 | eISBN: 0-7918-3754-8
  • Copyright © 2005 by ASME


The paper describes the application of a Genetic Algorithm (GA) to the aerodynamic shape optimization of a low speed fan cascade. This task is accomplished by modifying the blade camber line while keeping the same blade thickness distribution and mass flow rate. A number of design examples have been studied and the behaviour of the genetic algorithm has been tested. The fitness value of the objective function is evaluated using the commercial turbomachinery CFD code CFX-TASCflow. In this work Bezier curves were used for the description of the blade camber line. Specific interfaces were developed in order to link the optimization code, the grid generator TASCgrid utilized to define the computational meshes and the commercial flow solver TASCflow employed within an automated design loop. The obtained results show that the genetic algorithm is capable of automatically improving the design of axial fan blade profiles.

Copyright © 2005 by ASME
Topics: Optimization , Blades



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