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