Adaptation of the Dynamic Rotor Blade Modelling in CAMRAD for Fluid-Structure Coupling Within a Blade Design Process

Stanger, Christian; Hollands, Martin; Keßler, Manuel; Krämer, Ewald

doi:10.1007/978-3-319-03158-3_27

Cited by 1 publication

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“…Imiela [49,50] shows in his work the importance of incorporating fluid-structure coupling in the rotor blade optimization for rotors of similar size as used in this study. Stanger et al [51] demonstrate that the way of obtaining new structural-dynamic properties for a new 33 Suction side skin friction distribution @ r/R = 95% and design thrust for the HART-II rotor using various turbulent modelling strategies using DLR's CFD approach. Dashed lines mark laminar regions aerodynamic shape can have a noticeable effect on the performance, while Desvigne et al [52] probably have the most advanced approach to update the structural layout of the blade with respect to geometric changes aimed at improving the aerodynamics of a rotor blade.…”

Section: Elasticitymentioning

confidence: 99%

JAXA-ONERA-DLR cooperation: results from rotor optimization in hover

et al. 2022

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A cooperation between JAXA, ONERA and DLR puts the focus on the aerodynamic optimization of helicopter rotors. This paper represents the conclusions from the first phase: optimization of a hovering rotor. The HART-II blade is first investigated with low-fidelity tools and compared against state-of-the art CFD simulations. Afterwards, the chord distribution and twist of the HART-II blade are optimized using the low-fidelity tools as well as CFD. Since the partners observed differences in the outcome of the CFD simulations for the low-fidelity optimized blades, a deeper investigation of the effects of the turbulence modelling approach, elasticity and grid topology is conducted. The findings show that the chosen flight condition is close to the thrust of the maximum Figure of Merit and that the vortex-triggered separation on the outboard sections of the blade has to be modelled correctly. In this study, the blade grids had the most noticeable effect on the results, followed by the turbulence model and elasticity. With respect to the optimization, low-fidelity methods require special care, whereas CFD optimized blades were found to lead to more robust designs, even though they have only been optimized for a single point. This is explained by the more accurate modelling of the stall phenomenon with respect to geometrical changes.

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Section: Elasticitymentioning

confidence: 99%