Effect of blade number on rotor efficiency and noise emission at hovering condition

被引:4
|
作者
Li, Pengyu [1 ]
Yang, Yannian [2 ,3 ]
Li, Qingxi [4 ]
Arcondoulis, Elias J. G. [5 ]
Noack, Bernd R. [6 ,7 ]
Liu, Yu [1 ]
机构
[1] Southern Univ Sci & Technol, Dept Mech & Aerosp Engn, Shenzhen 518055, Peoples R China
[2] China Aerodynam Res & Dev Ctr, Lab Aerodynam Noise Control, Mianyang 621000, Sichuan, Peoples R China
[3] South China Univ Technol, Sch Automat Sci & Engn, Guangdong Engn Technol Res Ctr Unmanned Aerial Ve, Key Lab Autonomous Syst & Networked Control,Minis, Guangzhou 510640, Peoples R China
[4] AVIC Gen Aircraft Res Inst, Zhuhai 519090, Peoples R China
[5] Univ Bristol, Sch Civil Aerosp & Design Engn, Bristol BS8 1TR, Avon, England
[6] Harbin Inst Technol, Sch Mech Engn & Automat, Artificial Intelligence & Aerodynam, Shenzhen 518055, Peoples R China
[7] Harbin Inst Technol, Guangdong Prov Key Lab Intelligent Morphing Mech, Shenzhen 518055, Peoples R China
关键词
AEROACOUSTIC PERFORMANCE;
D O I
10.1063/5.0190338
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The configuration of rotors significantly impacts the aerodynamic efficiency and noise emission of multicopters. To date, there are no general guidelines regarding how many blades a rotor should use for optimal aerodynamic performance and minimum noise emission. From the perspectives of aerodynamics and acoustics during the hovering condition, two key parameters, i.e., figure of merit (FM) and overall sound pressure level (OASPL), are evaluated to determine the optimal blade number (BN). The number of blades chosen in this study is BN=2-6, which is largely observed in commercial multicopters. A genetic algorithm was developed to optimize blade design for each BN-rotor configuration. The individuals are evaluated by steady computational fluid dynamics (CFD) simulations and acoustic analogy for optimizations, and the detailed analyses of optimal ones are further explored by unsteady CFD simulations. The planform of the baseline blade is maintained, and the radial distribution of twist angles is the parameter for optimization. While generating the same thrust, the value of FM keeps increasing as the number of blades increases from 2 to 4, after which the FM value reaches a plateau. The value of OASPL keeps decreasing as the number of blades increases. The reason for the FM and OASPL value trends vs blade number is explained with the numerical simulation results, and a general design rule is suggested at the end.
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页数:19
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