25th AIAA/CEAS Aeroacoustics Conference 2019
DOI: 10.2514/6.2019-2615
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Prediction of Noise from Low Reynolds Number Rotors with Different Number of Blades using a Non-Linear Vortex Lattice Method

Abstract: The demand of micro air vehicles (MAV) with multiple rotors is increasing in both military and civil applications because of their versatility on various missions. However, the use of MAVs for some missions still has limited success because of their noise pollution. One of the main noise sources is aeroacoustic sound produced by the low Reynolds number flows around the rotors. There have been many previous studies about small-scale rotor systems of MAVs during the past decades, but they mainly focused on inves… Show more

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Cited by 22 publications
(22 citation statements)
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“…The Γ method [22] is less robust since it strongly relies on the under-relaxation to achieve convergence and the method fails in the post-stall region. There has been some development of a non-linear vortex lattice method for rotor blades based only on the Γ method [49], later extended to propellers [70] and wind turbines [71]. Additionally, these methods use an arbitrary point at which the induced velocities are computed instead of using the fact that a blade section is a 2D incompressible thin profile with a lift coefficient slope ∂C l ∂α = 2π.…”
Section: Non-linear Unsteady Vortex Lattice Methods (Nl Uvlm)mentioning
confidence: 99%
See 1 more Smart Citation
“…The Γ method [22] is less robust since it strongly relies on the under-relaxation to achieve convergence and the method fails in the post-stall region. There has been some development of a non-linear vortex lattice method for rotor blades based only on the Γ method [49], later extended to propellers [70] and wind turbines [71]. Additionally, these methods use an arbitrary point at which the induced velocities are computed instead of using the fact that a blade section is a 2D incompressible thin profile with a lift coefficient slope ∂C l ∂α = 2π.…”
Section: Non-linear Unsteady Vortex Lattice Methods (Nl Uvlm)mentioning
confidence: 99%
“…The UVLM has successfully been used to model a hovering rotor in a hover out of ground effect at a high Reynolds and low Mach condition [8], and it has also been applied to a smaller rotor [48] where the thrust coefficient was overestimated by 12%. Shortly after, non-linear UVLM (NL UVLM) with circulation coupling was used for the prediction of the aeroacoustics of low Reynolds number rotors [49]. Recently, Morency [25] applied the NL UVLM with alpha coupling to compute the heat transfer coefficient, but the hover simulations close to the ground were more challenging.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, it was shown in ref. [48] than nonlinear VLM results can be successfully used to predict the base flow field with sufficient accuracy for aero-acoustic noise calculations for micro air vehicle rotors. The method used an iterative correction of the sectional circulation values based on a lookup table of aerofoil viscous XFOIL or CFD results, the wake being modelled as vortex particles rather than rings to reduce the computational effort.…”
Section: Non-linear Vortex Lattice Methodsmentioning
confidence: 99%
“…The purpose of estimating the boundary layer thickness was to compare it to the height of the roughness, and to estimate U k the undisturbed velocity at the roughness height, to calculate the roughness Reynolds number, Re k . The pressure over the surface of the rotor was calculated using XFOIL [27] for the local Reynolds number based on local radial speed and the effective aerodynamic angle of attack (α eff ) for the corresponding radial position and rotation speed was calculated using a Non Linear Vortex Lattice Method (NLVLM) which should take into account some of the 3D effects present, the method is explained in detail in Jo et al [28]. Using the pressure obtained from XFOIL (calculated with an N-Factor of 7), the δ was calculated using ONERA's in house boundary layer code 3C3D, which solves Prandtl's boundary layer equations for three-dimensional boundary layers using a method of characteristics along local streamlines.…”
Section: Approximation Of the Boundary Thicknessmentioning
confidence: 99%