Airfoil design using a genetic algorithm and an inverse method

B. Allen Gardner, Michael S. Selig

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, optimal airfoil shapes are found through manipulation of the velocity distribution by a genetic algorithm. The airfoil geometries are generated by an inverse method from velocity distribution parameters, and a viscous-flow analysis code is used to determine proper fitness values for candidate airfoils based on preset performance criteria. The method is compared with the more traditional approach of direct geometry manipulation for a simple single-objective aerodynamic optimization problem for a symmetric airfoil. The inverse and direct approaches are compared using a simple genetic algorithm and a hybrid genetic algorithm, where the hybrid method is formed by combining a simple genetic algorithm and a specialized local search method. Finally, the method is used to design a cambered airfoil that outperforms the existing state-of-the-art. Results indicate that using the design variables defining the velocity distribution in the inverse method has great potential for increasing the efficiency of airfoil shape optimization using genetic algorithms.

Original languageEnglish (US)
Title of host publication41st Aerospace Sciences Meeting and Exhibit
StatePublished - Dec 1 2003
Event41st Aerospace Sciences Meeting and Exhibit 2003 - Reno, NV, United States
Duration: Jan 6 2003Jan 9 2003

Publication series

Name41st Aerospace Sciences Meeting and Exhibit

Other

Other41st Aerospace Sciences Meeting and Exhibit 2003
CountryUnited States
CityReno, NV
Period1/6/031/9/03

ASJC Scopus subject areas

  • Space and Planetary Science
  • Aerospace Engineering

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  • Cite this

    Allen Gardner, B., & Selig, M. S. (2003). Airfoil design using a genetic algorithm and an inverse method. In 41st Aerospace Sciences Meeting and Exhibit (41st Aerospace Sciences Meeting and Exhibit).