【摘 要】
：
Boundary Layer Ingestion(BLI)propulsion systems can significantly reduce the aircraft fuel burn but these systems can bring the inlet distortion problem to the fan and reduce its aerodynamic performan
【机 构】
：
National Key Laboratory of Science and Technology on Aero-Engine Aero-Thermodynamics,School of Energ
论文部分内容阅读
Boundary Layer Ingestion(BLI)propulsion systems can significantly reduce the aircraft fuel burn but these systems can bring the inlet distortion problem to the fan and reduce its aerodynamic performance.To reduce the profile loss and enhance the distortion-tolerant ability of a fan airfoil operating under the fixed inlet distortion,this paper presents an optimization strategy for a controlled diffusion airfoil(CDA)optimization through the multi-objective genetic algorithm(MOGA)with Back-Propagation(BP)neural network,and the optimization objectives are to minimize the profile loss and its sensitivity to the incidence angle.After the optimization,a fan airfoil adaptive for the fixed inlet distortion has been obtained.Compared with the conventional CDA,the profile loss of this fan airfoil is decreased under the positive incidence,and its sensitivity to the incidence angle is decreased by 32%.Simultaneously,the low loss incidence range is widened by 21%.
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