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Airfoil Topology Optimization using Teaching-Learning based Optimization

Author

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  • Dushhyanth Rajaram

    (Department of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA)

  • Himanshu Akhria

    (Department of Aeronautical Engineering, Manipal Institute of Technology, Manipal, India)

  • S. N. Omkar

    (Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India)

Abstract

This paper primarily deals with the optimization of airfoil topology using teaching-learning based optimization, a recently proposed heuristic technique, investigating performance in comparison to Genetic Algorithm and Particle Swarm Optimization. Airfoil parametrization and co-ordinate manipulations are accomplished using piecewise b-spline curves using thickness and camber for constraining the design space. The aimed objective of the exercise was easy computation, and incorporation of the scheme into the conceptual design phase of a low-reynolds number UAV for the SAE Aerodesign Competition. The 2D aerodynamic analyses and optimization routine are accomplished using the Xfoil code and MATLAB respectively. The effects of changing the number of design variables is presented. Also, the investigation shows better performance in the case of Teaching-Learning based optimization and Particle swarm optimization in comparison to Genetic Algorithm.

Suggested Citation

  • Dushhyanth Rajaram & Himanshu Akhria & S. N. Omkar, 2015. "Airfoil Topology Optimization using Teaching-Learning based Optimization," International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 6(1), pages 23-34, January.
    • Handle: RePEc:igg:jamc00:v:6:y:2015:i:1:p:23-34
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