Applying evolutionary optimization on the airfoil design

Khalkhali*, Abolfazl; Safikhani, Hamed

doi:10.22061/jcarme.2012.46

Document Type : Research Paper

Authors

¹ School of Automotive Engineering, Iran University of Science and Technology, Tehran, Iran

² Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran

https://doi.org/10.22061/jcarme.2012.46

Abstract

In this paper, lift and drag coefficients were numerically investigated using NUMECA software in a set of 4-digit NACA airfoils. Two metamodels based on the evolved group method of data handling (GMDH) type neural networks were then obtained for modeling both lift coefficient (C_L) and drag coefficient (C_D) with respect to the geometrical design parameters. After using such obtained polynomial neural networks, modified non-dominated sorting genetic algorithm (NSGAII) was used for Pareto based optimization of 4-digit NACA airfoils considering two conflicting objectives such as (C_L) and (C_D). Further evaluations of the design points in the obtained Pareto fronts using the NUMECA software showed the effectiveness of such an approach. Moreover, it was shown that some interesting and important relationships as the useful optimal design principles involved in the performance of the airfoils can be discovered by the Pareto-based multi-objective optimization of the obtained polynomial meta-models. Such important optimal principles would not have been obtained without using the approach presented in this paper.

Keywords

20.1001.1.22287922.2012.2.1.6.5

Main Subjects

Fluid Mechanics

References

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Journal of Computational & Applied Research in Mechanical Engineering (JCARME)

Applying evolutionary optimization on the airfoil design

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Volume 2, Issue 1 - Serial Number 1
December 2012
Pages 51-62

Applying evolutionary optimization on the airfoil design

References

References

Send comment about this article

Volume 2, Issue 1 - Serial Number 1December 2012Pages 51-62

Volume 2, Issue 1 - Serial Number 1
December 2012
Pages 51-62