An improved methodology for airfoil shape optimization using surrogate based design optimization

D. Rajaram, R. S. Pant

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

Abstract

This paper describes a Surrogate Based Design Optimization (SBDO) technique for airfoil shape optimization. The airfoil shape is parameterized in terms of B-Splines whose control points are used as design variables. Constraints are imposed on Maximum Camber and Thickness-to-Chord ratio of the airfoil. Optimum Latin Hypercube sampling is used to evaluate max. Lift/Drag (L/D) ratio for candidate airfoils, using XFOIL, an open-source aerodynamic analysis program. Using Kriging, a surrogate surface is created to obtain an approximate value of L/D for any set of design variables. Efficient global optimization algorithm is used to arrive at the optimum shape of airfoil for maximizing L/D at a specific angle of attack. The methodology resulted in profiles with 20% to 30% higher L/D than two baseline airfoils viz., Wortmann FX74 mod and Selig 1210, with several orders of magnitude lesser calls to XFOIL, as compared to a previous study, using teaching-learning based optimization technique.

Original languageEnglish
Title of host publicationEngineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014
PublisherCRC Press/Balkema
Pages149-152
Number of pages4
ISBN (Electronic)9781138027251
Publication statusPublished - 01-01-2014
Externally publishedYes
Event4th International Conference on Engineering Optimization, ENGOPT 2014 - Lisbon, Portugal
Duration: 08-09-201411-09-2014

Conference

Conference4th International Conference on Engineering Optimization, ENGOPT 2014
CountryPortugal
CityLisbon
Period08-09-1411-09-14

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Control and Optimization

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  • Cite this

    Rajaram, D., & Pant, R. S. (2014). An improved methodology for airfoil shape optimization using surrogate based design optimization. In Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014 (pp. 149-152). CRC Press/Balkema.