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所属单位：航空学院

发表刊物：Hangkong Dongli Xuebao

摘要：A structure parametric design method of scissors tail rotor was established, in combination with areodynamic noise prediction technique based on CFD(computational fluid dynamics)/FW-H(Ffowcs Williams-Hawkings) equations and combinatorial optimization algorithm. The embedded grid method was developed to predict the flowfield of scissor tail rotor in steady flow. Based on the Navier-Stokes (RANS) equations, a high-effciency CFD simulation method was adopted for aerodynamic characteristics prediction of scissor tail rotor in hover. Based on the previous flowfield calculations, FW-H equations was established to predict the aerodynamic noise of scissor tail rotors. Then, to improve the hover efficiency and reduce the aerodynamic noise, optimization design for structural parameters of scissor tail rotor (scissors angle and shaft spacing) with constant thrust coefficient and constant pitch was conducted respectively. The genetic algorithm and surrogated model based on latin hypercube sampling (LHS) design and radial basis function (RBF) were combined as a hybrid optimization technique. The noise reduction mechanism of the tail rotor was obtained by these results. And the results show that, different combinations of scissors angle and shaft spacing can reduce the blade-vortex interaction phenomenon to cut down rotor blade-vortex interaction noise. Under the current calculation state, compared with conventional rail rotor, the hover efficiency of the optimized tail rotor increased by 16%, and the average sound pressure level decreased by 2.3dB. © 2019, Editorial Department of Journal of Aerospace Power. All right reserved.

ISSN号：1000-8055

是否译文：否

发表时间：2019-05-01

合写作者：Chen, Siyu,Fan, Jun,Zhu, Zheng,

通讯作者：招启军