An Aerodynamic Design Method of Propeller Airfoils with Geometric Compatibility as Constraints

Xu, Junqi; Song, Wenping; Han, Zhonghua

doi:10.2514/6.2019-3493

Cited by 1 publication

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…17 The FP is a two-bladed rotor with a diameter of 2.8 m and a reference chord length of 0.187 m, where r/R = 75%. The FP uses an optimized airfoil based on a low Reynolds number airfoil PLRMS12, 18 which was designed for low Reynolds number propeller by our research group. The FP is designed for cruising at altitude of 22 km, resisting laminar wind speed of 23.7 m/s with propeller rotational speed of 1158 r/min.…”

Section: Propeller Performance Surrogate Modelmentioning

confidence: 99%

High-altitude airship variable-pitch propeller performance analysis at multiple altitudes

Dongchen

Song

Jiao

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part G:

View full text Add to dashboard Cite

To achieve better propulsion performance for high-altitude airships, this paper proposes a variable-pitch propeller design and performance analysis. Propeller surrogate models were constructed based on an in-house fluid–structure solver and validated by a wind tunnel experiment. Based on the surrogate model, this paper studied propeller performance under the common influence of propeller pitch variation and rotational speed, and proved the positive effect of the variable-pitch propeller on maintaining relatively high efficiency in large rotational speed range. This paper compared the performance of variable-pitch propellers and fixed-pitch propellers under the constraints of the motor. The results show that introducing variable-pitch propellers to high-altitude airships can significantly improve propeller performance at multiple altitudes and laminar wind speeds. And the potential of airship weight reduction brought by the variable-pitch technique is discussed as well.

show abstract

Section: Propeller Performance Surrogate Modelmentioning

confidence: 99%