JOURNAL ARTICLE

Comparison of Unsteady Low- and Mid-Fidelity Propeller Aerodynamic Methods for Whirl Flutter Applications

Christopher KochNils BöhnischHendrik VerdonckOliver HachCarsten Braun

Year: 2024 Journal:   Applied Sciences Vol: 14 (2)Pages: 850-850   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

Aircraft configurations with propellers have been drawing more attention in recent times, partly due to new propulsion concepts based on hydrogen fuel cells and electric motors. These configurations are prone to whirl flutter, which is an aeroelastic instability affecting airframes with elastically supported propellers. It commonly needs to be mitigated already during the design phase of such configurations, requiring, among other things, unsteady aerodynamic transfer functions for the propeller. However, no comprehensive assessment of unsteady propeller aerodynamics for aeroelastic analysis is available in the literature. This paper provides a detailed comparison of nine different low- to mid-fidelity aerodynamic methods, demonstrating their impact on linear, unsteady aerodynamics, as well as whirl flutter stability prediction. Quasi-steady and unsteady methods for blade lift with or without coupling to blade element momentum theory are evaluated and compared to mid-fidelity potential flow solvers (UPM and DUST) and classical, derivative-based methods. Time-domain identification of frequency-domain transfer functions for the unsteady propeller hub loads is used to compare the different methods. Predictions of the minimum required pylon stiffness for stability show good agreement among the mid-fidelity methods. The differences in the stability predictions for the low-fidelity methods are higher. Most methods studied yield a more unstable system than classical, derivative-based whirl flutter analysis, indicating that the use of more sophisticated aerodynamic modeling techniques might be required for accurate whirl flutter prediction.

Keywords:
Flutter Aeroelasticity Propeller Aerodynamics Engineering Blade element theory Structural engineering Aerospace engineering Control theory (sociology) Computer science Marine engineering

Metrics

5
Cited By
3.60
FWCI (Field Weighted Citation Impact)
33
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Computational Fluid Dynamics and Aerodynamics
Physical Sciences →  Engineering →  Computational Mechanics
Aerodynamics and Fluid Dynamics Research
Physical Sciences →  Engineering →  Aerospace Engineering
Aeroelasticity and Vibration Control
Physical Sciences →  Engineering →  Aerospace Engineering

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