Rapid aerodynamic methods for the analysis of propeller wing interaction
Rapid aerodynamic methods for the analysis of propeller wing interaction
The propeller-wing aerodynamic interaction is investigated with multi-fidelity methods including Lifting Line Method (LLM), Surface Panel Method (SPM), and Vortex Particle Method (VPM). High-fidelity results from in-house unsteady RANS computations and experiments are used as a reference. Two open-source codes FlowUnsteady and DUST are used to carry out low to mid fidelity simulations. For the computations performed with FlowUnsteady, the lifting surfaces are modeled using actuator line model or actuator surface model, while the propeller wake and wing wake are modeled using a reformulated VPM. With DUST, the lifting surfaces are modelled using surface panels and the wake is modelled by classic VPM. A clean wing, an isolated beaver propeller and a wing-mounted propeller are used as benchmarks for comparing the performance of the faster methods with uRANS and experiments. For simpler test cases such as the clean wing, a comparable accuracy is found for the prescribed wake and VPM wake, while the simulation time of the former is orders of magnitude lower than the latter. For the isolated propeller, the LLM that couples with VPM wake can predict thrust coefficient in the order of 10 minutes with less than 5\% deviation compared to experiment data, while with high fidelity uRANS, more than 20 hours are needed. When the wing wake and propeller wake interaction is expected to have an impact on lift, drag and pressure distribution, the middle-fidelity VPM recovers much of the physics lost with lower fidelity methods, yet providing a good compromise between computational costs and accuracy.
American Institute of Aeronautics and Astronautics
Li, Zhuoneng
bd8601a6-add5-44d0-9867-b6451ef7a87d
Maltsev, Vadim
c3a38a9d-f6aa-4bd9-b5e5-b527438415db
Modarres Aval, Amir H.
6a2af28c-80df-4533-9325-75ecc6cb7d60
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
27 July 2024
Li, Zhuoneng
bd8601a6-add5-44d0-9867-b6451ef7a87d
Maltsev, Vadim
c3a38a9d-f6aa-4bd9-b5e5-b527438415db
Modarres Aval, Amir H.
6a2af28c-80df-4533-9325-75ecc6cb7d60
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Li, Zhuoneng, Maltsev, Vadim, Modarres Aval, Amir H. and Da Ronch, Andrea
(2024)
Rapid aerodynamic methods for the analysis of propeller wing interaction.
In AIAA Aviation Forum and Ascend 2024.
American Institute of Aeronautics and Astronautics..
(doi:10.2514/6.2024-3521).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The propeller-wing aerodynamic interaction is investigated with multi-fidelity methods including Lifting Line Method (LLM), Surface Panel Method (SPM), and Vortex Particle Method (VPM). High-fidelity results from in-house unsteady RANS computations and experiments are used as a reference. Two open-source codes FlowUnsteady and DUST are used to carry out low to mid fidelity simulations. For the computations performed with FlowUnsteady, the lifting surfaces are modeled using actuator line model or actuator surface model, while the propeller wake and wing wake are modeled using a reformulated VPM. With DUST, the lifting surfaces are modelled using surface panels and the wake is modelled by classic VPM. A clean wing, an isolated beaver propeller and a wing-mounted propeller are used as benchmarks for comparing the performance of the faster methods with uRANS and experiments. For simpler test cases such as the clean wing, a comparable accuracy is found for the prescribed wake and VPM wake, while the simulation time of the former is orders of magnitude lower than the latter. For the isolated propeller, the LLM that couples with VPM wake can predict thrust coefficient in the order of 10 minutes with less than 5\% deviation compared to experiment data, while with high fidelity uRANS, more than 20 hours are needed. When the wing wake and propeller wake interaction is expected to have an impact on lift, drag and pressure distribution, the middle-fidelity VPM recovers much of the physics lost with lower fidelity methods, yet providing a good compromise between computational costs and accuracy.
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Published date: 27 July 2024
Venue - Dates:
AIAA Aviation Forum and ASCEND, , Las Vegas, United States, 2024-07-29 - 2024-08-02
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Local EPrints ID: 495392
URI: http://eprints.soton.ac.uk/id/eprint/495392
PURE UUID: 3a14c301-4d1c-44ba-a42c-ff825a860076
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Date deposited: 12 Nov 2024 17:54
Last modified: 13 Nov 2024 02:46
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Author:
Zhuoneng Li
Author:
Vadim Maltsev
Author:
Amir H. Modarres Aval
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