A Study on Development of Airfoil Shape Toward Low Reynolds-Number Dependence of Aerodynamic Characteristics Under Low-Reynolds-Number-Flow Conditions

Aono, Hikaru; Anyoji, Masayuki; Hamada, Daiki; Wakui, Shotaro; Tatsukawa, Tomoaki

doi:10.2514/6.2018-1085

Cited by 5 publications

(1 citation statement)

References 21 publications

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“…Many experimental investigations and numerical simulations have been conducted to assess the aerodynamic coefficients and the boundary layer characteristics [6][7][8]. Earlier researchers have shown that both angles of incidence and the Reynolds number have got a substantial effect on the aerodynamic performance of 2-D aerofoils [9][10][11]. McCroskey [12] wrote a review paper for wind tunnel tests conducted and validated with the CFD, and the results compared showed good accuracy.…”

Section: Introductionmentioning

confidence: 99%

Comparing the Effect of Different Turbulence Models on The CFD Predictions of NACA0018 Airfoil Aerodynamics

Khan¹,

Bashir²,

Baig³

et al. 2020

CFDL

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The analysis of aerodynamic forces on two-dimensional airfoils and flow phenomena associated with different Reynolds number has been widely investigated for aerospace vehicles and wind turbines. Various numerical methods have been used with different turbulence models, and the discrepancy in flow physics differs between each model. This work presents the numerical analysis of the aerodynamic performance of NACA 0018 airfoil using different turbulence models. The Computational Fluid Dynamics (CFD) solver, Ansys Fluent, is used for this numerical study. The available experimental data of NACA 0018 airfoil is used for comparing numerical outputs, and the difference in the lift, drag, and pressure coefficients are evaluated, respectively. Structured meshing is employed for all the investigated models for the analysis for lift and drag coefficients using four different turbulence models. Measurements of aerodynamic coefficients and surface pressures are recorded for a range of Re=0.8x10 5 to Re=0.3x10 6 and angles of attack (0° to 18°). The SST k-omega model provided the best lift coefficient predictions for low angles of attack Results also indicate that the flow separation regions and reattachment locations can be predicted by the Transition k-klω model.

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Section: Introductionmentioning

confidence: 99%

Comparing the Effect of Different Turbulence Models on The CFD Predictions of NACA0018 Airfoil Aerodynamics

Khan¹,

Bashir²,

Baig³

et al. 2020

CFDL

View full text Add to dashboard Cite

show abstract

Validation of the $$\gamma \text{-Re }_{\theta }$$ Transition Model for Airfoils Operating in the Very Low Reynolds Number Regime

Ruiz

D’Ambrosio

2022

Flow Turbulence Combust

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Micro Aerial Vehicles (MAVs) are state of the art in the aerospace industry and are involved in many operations. The reduced dimensions of these vehicles generate very low Reynolds number conditions in which separation-induced transition typically occurs. The extremely large computational cost of scale resolving simulations, which are capable of capturing laminar to turbulent transition, is prohibitive for most engineering and design applications. Therefore, it becomes very interesting to couple transition models with conventional Reynolds Averaged Navier–Stokes (RANS) simulations to allow the prediction of transition to turbulence at a reduced computational cost. This paper performs an investigation of the application of the $$\gamma \text{-Re }_{\theta }$$ γ -Re θ transition model analysing different empirical correlations available in literature and studying the influence of the relevant model parameters using the commercial Computational Fluid Dynamics (CFD) code STAR-CCM+. The flow around the Eppler 387, Selig/Donovan 7003 and Ishii airfoils has been studied for different Reynolds numbers and angles of attack comparing the drag and lift forces and separation bubble characteristics with experimental and numerical results reported in literature.

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Aerodynamic optimization and analysis of quadrotor blades operating in the Martian atmosphere

Ruiz

D’Ambrosio

2023

Aerospace Science and Technology

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A Study on Development of Airfoil Shape Toward Low Reynolds-Number Dependence of Aerodynamic Characteristics Under Low-Reynolds-Number-Flow Conditions

Cited by 5 publications

References 21 publications

Comparing the Effect of Different Turbulence Models on The CFD Predictions of NACA0018 Airfoil Aerodynamics

Comparing the Effect of Different Turbulence Models on The CFD Predictions of NACA0018 Airfoil Aerodynamics

Validation of the $$\gamma \text{-Re }_{\theta }$$ Transition Model for Airfoils Operating in the Very Low Reynolds Number Regime

Aerodynamic optimization and analysis of quadrotor blades operating in the Martian atmosphere

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