Blade element momentum theory extended to model low Reynolds number propeller performance

被引:0
|
作者
机构
[1] MacNeill, R.
[2] Verstraete, D.
来源
| 1600年 / Cambridge University Press卷 / 121期
关键词
Angle of attack - Unmanned aerial vehicles (UAV) - Momentum - Fighter aircraft - Antennas - Propellers;
D O I
暂无
中图分类号
学科分类号
摘要
Propellers are the predominant propulsion source for small unmanned aerial vehicles. At low advance ratios, large sections of the propeller blade can be stalled, and the Reynolds number faced by each blade can be low. This leads to difficulties in modelling propeller performance, as the aerodynamic models coupled with blade element methods usually only provide aerodynamic data for an assumed aerofoil section, for a small angle-of-attack range and for a single Reynolds number, while rotational effects are often ignored. This is specifically important at low advance ratios, and a consistent evaluation of the applicability of various methods to improve aerodynamic modelling is not available. To provide a systematic appraisal, three-dimensional (3D) scanning is used to obtain the aerofoil sections that make up a propeller blade. An aerodynamic database is formed using each extracted aerofoil section, across a wide range of angles of attack and Reynolds numbers. These databases are then modified to include the effects of rotation. When compared with experimental results, significant improvement in modelling accuracy is shown at low advance ratios relative to a generic blade element-momentum model, particularly for smaller propellers. Notably, when considering small propeller performance, efficiency modelling is improved from within 30% relative to experimental data to within 5% with the use of the extended blade element momentum theory method. The results show that combining Viterna and Corrigan flat plate theory with the Corrigan and Schillings stall delay model consistently yields the closest match with experimental data. © Copyright 2017 Royal Aeronautical Society.
引用
收藏
相关论文
共 50 条
  • [1] Blade element momentum theory extended to model low Reynolds number propeller performance
    MacNeill, R.
    Verstraete, D.
    [J]. AERONAUTICAL JOURNAL, 2017, 121 (1240): : 835 - 857
  • [2] Rotor Blade Performance Analysis with Blade Element Momentum Theory
    Mahmuddin, Faisal
    [J]. 8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105 : 1123 - 1129
  • [3] Nonlinear Large Angle Solutions of the Blade Element Momentum Theory Propeller Equations
    Whitmore, Stephen A.
    Merrill, Robert S.
    [J]. JOURNAL OF AIRCRAFT, 2012, 49 (04): : 1126 - 1134
  • [4] Hybrid Aerodynamic Optimization of a Propeller Based on the Reformulated Blade Element Momentum Theory
    Gao, Zeming
    Shao, Xueming
    Zeng, Lifang
    Liu, Liu
    Li, Jun
    [J]. JOURNAL OF AEROSPACE ENGINEERING, 2024, 37 (02)
  • [5] An efficient blade sweep correction model for blade element momentum theory
    Fritz, Erik Kaspar
    Ferreira, Carlos
    Boorsma, Koen
    [J]. WIND ENERGY, 2022, 25 (12) : 1977 - 1994
  • [6] Blade Element Momentum Modeling of Low-Reynolds Electric Propulsion Systems
    McCrink, Matthew H.
    Gregory, James W.
    [J]. JOURNAL OF AIRCRAFT, 2017, 54 (01): : 163 - 176
  • [7] Blade Element Momentum Method for Propeller Under Nonaxial Flow
    Park, Sanghyuk
    [J]. INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES, 2023, 24 (02) : 334 - 340
  • [8] Blade Element Momentum Method for Propeller Under Nonaxial Flow
    Sanghyuk Park
    [J]. International Journal of Aeronautical and Space Sciences, 2023, 24 : 334 - 340
  • [9] High-robustness nonlinear-modification method for propeller blade element momentum theory
    Fan Z.
    Zhou Z.
    Zhu X.
    Wang R.
    Wang K.
    [J]. Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2018, 39 (08):
  • [10] ANALYSIS OF THE BLADE ELEMENT MOMENTUM THEORY
    Ledoux, Jeremy
    Riffo, Sebastian
    Salomon, Julien
    [J]. SIAM JOURNAL ON APPLIED MATHEMATICS, 2021, 81 (06) : 2596 - 2621