Multi-Objective Optimization for Natural Laminar Flow Airfoil in Transonic Flow

Abstract

Abstract: Multi-objective genetic algorithms are implemented to optimize airfoil shape for obtaining greater laminar range and weaker shock wave drag simultaneously by using a shock control bump. Non dominated solutions of this two-objective optimization problem indicate that aerodynamic performances of airfoils trade-off between delay of profile's transition location and increased intensity of shock wave due the bump installed at upper surface of airfoil.

Key words: natural laminar flow airfoil, transition prediction, shock wave control, multi-objective optimization, Pareto front

CLC Number:

V211.3

CHEN Yongbin, TANG Zhili, SHENG Jianda. Multi-Objective Optimization for Natural Laminar Flow Airfoil in Transonic Flow[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2016, 33(3): 283-296.

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