On the Integrated Aerodynamic Design of a Propeller-Wing System

Cole, Julia A.; Krebs, Travis; Barcelos, Devin F.; Yeung, Alton; Bramesfeld, Goetz

doi:10.2514/6.2019-2300

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…the slipstream velocity needs to be in the same direction inside and outside the jet (mathematically represented by 𝑉 𝑗 𝑢 𝑟 ,∞ = 𝑉 ∞ 𝑢 𝑟 , 𝑗 , where 𝑢 𝑟 , 𝑗 and 𝑢 𝑟 ,∞ are the disturbance velocity inside and outside the jet in radial direction, respectively). To satisfy these boundaries conditions, a correction matrix is added to the AIC matrix, denoted by 𝐺 𝑖𝑖 in Equation (2). The correction factor is equivalent to including mirror vortices that satisfy the boundary conditions at the slipstream.…”

Section: Slipstream Modelmentioning

confidence: 99%

“…Many aerospace systems have undergone extensive optimization. However, literature on coupled propeller-wing optimization is limited, with only a few articles discussing its impact and possible benefits [2][3][4][5]. An optimization procedure for a coupled wing-propeller system could aid efficient propeller-wing designs by exploiting the coupling between the propeller and wing, and return a more efficient system than isolated optimization can.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Rapid Aerostructural Optimization of Wing-Propeller Systems

Exalto,

Pacini,

Kaneko

et al. 2024

AIAA SCITECH 2024 Forum

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Propeller-wing configurations are expected to return to the aviation industry due to their high propulsive efficiency and applicability in urban and regional air mobility. A knowledge gap exists around wing-propeller optimization because of the complexity of the propeller-wing system and the absence of a computationally efficient way to assess the coupled system. This paper addresses this gap by providing and validating a computationally efficient, mid-fidelity framework. The paper presents optimization results and recommendations for future iterations of the framework. The TU Delft PROWIM propeller is optimized with the framework, comparing sequential isolated optimization, trim optimization, and fully coupled optimization. The studies gives a conservative estimate of the efficiency gains that can be achieved by using coupled optimization, as compared to isolated optimization. Lastly, recommendations are given for future studies, such as including a battery weight model and including swirl velocities. It is expected that such model additions will affect the optimization results, and further emphasize the importance of coupled aerostructural optimization.

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Section: Slipstream Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rapid Aerostructural Optimization of Wing-Propeller Systems

Exalto,

Pacini,

Kaneko

et al. 2024

AIAA SCITECH 2024 Forum

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“…Numerous integration studies have been performed on (variations of) wingtip-mounted propeller configurations. Some studies have mainly investigated the aerodynamic effects [7][8][9][10]. Some studied the effect on the aircraft weight by assuming aerodynamic benefits [11] or by ignoring mutual interference [12].…”

Section: Introductionmentioning

confidence: 99%

Aero-Propulsive and Aero-Structural Design Integration of Turboprop Aircraft with Electric Wingtip-Mounted Propellers

Leer

Hoogreef

2022

AIAA SCITECH 2022 Forum

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Comparison and evaluation of blade element methods against RANS simulations and test data

et al. 2022

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This paper compares several blade element theory (BET) method-based propeller simulation tools, including an evaluation against static propeller ground tests and high-fidelity Reynolds-Average Navier Stokes (RANS) simulations. Two proprietary propeller geometries for paraglider applications are analysed in static and flight conditions. The RANS simulations are validated with the static test data and used as a reference for comparing the BET in flight conditions. The comparison includes the analysis of varying 2D aerodynamic airfoil parameters and different induced velocity calculation methods. The evaluation of the BET propeller simulation tools shows the strength of the BET tools compared to RANS simulations. The RANS simulations underpredict static experimental data within 10% relative error, while appropriate BET tools overpredict the RANS results by 15–20% relative error. A variation in 2D aerodynamic data depicts the need for highly accurate 2D data for accurate BET results. The nonlinear BET coupled with XFOIL for the 2D aerodynamic data matches best with RANS in static operation and flight conditions. The novel BET tool PropCODE combines both approaches and offers further correction models for highly accurate static and flight condition results.

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On the Integrated Aerodynamic Design of a Propeller-Wing System

Cited by 3 publications

References 17 publications

Rapid Aerostructural Optimization of Wing-Propeller Systems

Rapid Aerostructural Optimization of Wing-Propeller Systems

Aero-Propulsive and Aero-Structural Design Integration of Turboprop Aircraft with Electric Wingtip-Mounted Propellers

Comparison and evaluation of blade element methods against RANS simulations and test data

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