Propeller aerodynamic optimisation to minimise energy consumption for electric fixed-wing aircraft

被引:2
作者
Hoyos, J. D. [1 ]
Alvarado, J. P. [1 ]
Jimenez, J. H. [2 ]
机构
[1] Univ Pontificia Bolivariana, Aeronaut Engn Fac, Medelln, Colombia
[2] Imperial Coll London, Dept Aeronaut, London, England
关键词
Propeller; Optimization; endurance; BEM; CFD; Electric aircraft;
D O I
10.1017/aer.2021.51
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
An electric propulsion model for propeller-driven aircraft is developed with the aim of minimising the power consumption for a given airspeed and thrust. Blade Element Momentum Theory (BEMT) is employed for propeller performance predictions fed with aerodynamic aerofoil data obtained from a proposed combined Computational Fluid Dynamics (CFD)-Montgomerie method, which is also validated. The Two-Dimensional (2D) aerofoil data are corrected to consider compressibility, three-dimensional, viscous and Reynolds-number effects. The BEMT model showed adequate fitting with experimental data from the University of Illinois Urbana Champaign (UIUC) database. Additionally, Goldstein optimisation via vortex theory is employed to design pitch and chord distributions minimising the induced losses of the propeller. Particle swarm optimisation is employed to find the optimal value for a wide range of geometrical and operational parameters considering some constraints. The optimisation algorithm is validated through a study case where an existing optimisation problem is approached, leading to very similar results. Some trends and insights are obtained from the study case and discussed regarding the design of an optimal propulsion system. Finally, CFD simulations of the study case are carried out, showing a slight relative error of BEMT.
引用
收藏
页码:1844 / 1870
页数:27
相关论文
共 59 条
[1]  
Alam M. H., 2017, 2017 20 INTERNAT ION, P1, DOI DOI 10.1109/ICCITECHN.2017.8281840
[2]  
Anderson J.D., 2011, Fundamentals of Aerodynamics, P357
[3]  
[Anonymous], 1979, SAE Transactions, V12, P2053, DOI 10.4271/790585
[4]  
[Anonymous], 2020, AIRFOIL TOOLS
[5]  
APC, 2020, APC PROP PERF DAT
[6]  
AraUjo A., 2017, MECH ENG, P9, DOI [10.26678/ABCM.COBEM2017.COB17-0306, DOI 10.26678/ABCM.COBEM2017.COB17-0306]
[7]  
Bak C., 2006, Proceedings of the European Wind Energy Conference, P1
[8]   Comparison of Airfoil Precomputational Analysis Methods for Optimization of Wind Turbine Blades [J].
Barrett, Ryan ;
Ning, Andrew .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2016, 7 (03) :1081-1088
[9]  
Betz A., 1919, Nachrichten von der Gesellschaft der Wissenschaften zu Gottingen, Mathematisch-Physikalische Klasse, V1919, P193
[10]   An Experimental and Numerical Assessment of Airfoil Polars for Use in Darrieus Wind Turbines-Part II: Post-stall Data Extrapolation Methods [J].
Bianchini, Alessandro ;
Balduzzi, Francesco ;
Rainbird, John M. ;
Peiro, Joaquim ;
Graham, J. Michael R. ;
Ferrara, Giovanni ;
Ferrari, Lorenzo .
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2016, 138 (03)