Engineering method to estimate the blade loading of propellers in nonuniform flow

Journal Article (2020)
Author(s)

N. van Arnhem (TU Delft - Flight Performance and Propulsion)

Reynard de De Vries (TU Delft - Flight Performance and Propulsion)

Tomas Sinnige (TU Delft - Flight Performance and Propulsion)

R Vos (TU Delft - Flight Performance and Propulsion)

G. Eitelberg (TU Delft - Flight Performance and Propulsion)

L.L.M. Veldhuis (TU Delft - Flight Performance and Propulsion)

Research Group
Flight Performance and Propulsion
Copyright
© 2020 N. van Arnhem, R. de Vries, T. Sinnige, Roelof Vos, G. Eitelberg, L.L.M. Veldhuis
DOI related publication
https://doi.org/10.2514/1.J059485
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 N. van Arnhem, R. de Vries, T. Sinnige, Roelof Vos, G. Eitelberg, L.L.M. Veldhuis
Research Group
Flight Performance and Propulsion
Issue number
12
Volume number
58
Pages (from-to)
5332-5346
Reuse Rights

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Abstract

Advances in aerodynamic and propulsive efficiency of future aircraft can be achieved by strategic installation of propellers near the airframe. This paper presents a robust and computationally efficient engineering method to estimate the load distribution of a propeller operating in arbitrary nonuniform flow that is induced by the airframe and by different flight conditions. The time-resolved loading distribution is computed by determining the local blade section advance ratio and using the sensitivity distribution along the blade, which is a property of the propeller in isolated conditions. The method is applied to four representative validation cases by comparing to full-blade computational fluid dynamics (CFD) simulations and experimental data. For the evaluated cases, it is shown that the changes in the propeller loads due to the nonuniform inflow are predicted with errors ranging from 0.5 up to 12% compared to the validation data. By extending the quasi-steady approach with a correction to account for unsteady effects, the time-resolved blade loading is also well approximated, without adding computational cost. The proposed method provided a time-resolved solution within several central processing unit seconds, which is seven orders of magnitude faster compared to full-blade CFD computations.

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