Abstract

The blade tip vortex system is a crucial feature in the wake of helicopter rotors, and its correct prediction represents a major challenge in the numerical simulation of rotor flows. A common phenomenon in modern high-fidelity CFD simulations is the breakdown of the primary vortex system in hover due to secondary vortex braids. Since they are strongly influenced by the numerical settings, the degree to which these secondary vortex structures actually physically occur is still discussed and needs experimental validation. In the current work, the development of secondary vortex structures in the wake of a two-bladed rotor in hover conditions was investigated by combining stereoscopic particle image velocimetry measurements in different measurement planes and high-fidelity simulations. Secondary vortex structures were detected and quantified at different axial locations in the wake by applying an identical scheme to the measured and simulated velocity data. In agreement, it was found that the number of secondary vortices is maximum at a distance of 0.8,R below the rotor. The more intense secondary vortex structures were quantitatively well captured in the simulation, whereas in the experiment a larger number of weaker vortices were detected. No distinct preferential direction of rotation was found for the secondary vortices, but they tended to develop in vortex pairs with alternating sense of rotation. A clustered occurrence of secondary vortices was observed close to the primary tip vortices, where the rolled-up blade shear layer breaks down into coherent vortex structures.Graphical abstract

Highlights

  • The wake of a helicopter rotor is a three-dimensional unsteady flow, which is challenging to understand even with modern experimental and numerical methods

  • An issue raised by recent high-fidelity computational fluid dynamics (CFD) simulations is the role of secondary vortex structures in the collapse of the blade tip vortex system

  • Cartesian grids are used in the “off-body” to resolve the wake through a combination of higher-order algorithms and adaptive mesh refinement (AMR)

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Summary

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V ,max Maximum swirl velocity (m/s) x, y, z Coordinates in the reference frame (m)

Introduction
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Test rotor
Particle image velocimetry
Hot‐wire anemometry
Numerical methodology
Flow solvers
Overflow
SAMCart
Results: overall wake structure and blade tip vortices
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Results: secondary vortices
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Secondary vortex detection
Secondary vortex parameters
Quantitative analysis of secondary vortex structures
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Secondary vortex formation and development
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Conclusions
Findings
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Full Text
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