Engineering Method to Estimate the Blade Loading of Propellers in Nonuniform Flow
Autor: | Georg Eitelberg, Reynard de Vries, Leo Veldhuis, Tomas Sinnige, Nando van Arnhem, Roelof Vos |
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Rok vydání: | 2020 |
Předmět: |
020301 aerospace & aeronautics
Computer simulation Computer science business.industry Propeller Aerospace Engineering 02 engineering and technology Inflow Aerodynamics Mechanics Computational fluid dynamics 01 natural sciences 010305 fluids & plasmas 0203 mechanical engineering 0103 physical sciences Airframe Advance ratio business Propulsive efficiency |
Zdroj: | AIAA Journal: devoted to aerospace research and development, 58(12) AIAA Journal |
ISSN: | 1533-385X 0001-1452 |
DOI: | 10.2514/1.j059485 |
Popis: | 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. |
Databáze: | OpenAIRE |
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