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Grant: Collaborative Research and Development Grants

École Polytechnique de Montréal

$133,978.00

Aerodynamic flow modeling for helicopters landing on ships

EF 2017-18

Résumé
Flight simulation of aircraft is a well-established field providing excellent value/price ratio to the community. Flight simulators for airplanes and helicopters allow efficient pilot training (time and costs) while reducing risks of losing an aircraft or worse, pilots. This project aims at increasing the fidelity of aerodynamic models used in real-time flight simulation packages for helicopter landing on ships. The models will be of mixed-fidelity: the inviscid flow will be modeled via Vortex Lattice methods, while viscous flows will be modeled via Unsteady Reynolds-averaged Navier-Stokes (URANS) methods. In particular, emphasis will be placed on rotor flow modeling with periodic motions. The effects of compressibility, transonic flow conditions, boundary-layers, and tip vortex will be examined, as well as the effects of ship wakes by a collaborative approach. Prof. Laurendeau's team at Polytechnique Montréal will examine the time-accurate inviscid models on Central Processing Units (CPU)/Graphics Processing Units (GPU) and on rotor flow models via the actuator disk boundary conditions while Prof. Nadarajah's team at McGill University will concentrate on periodic viscous flow models. CAE will examine the ship wake model with a commercial 3D flow solver to provide information on ship wakes.The project will provide training for 2 M.sc., 2 Ph.D. and 1 Post-Doctoral student in the area of real-time aerodynamic flow models. The results will increase CAE's flight simulation capabilities for helicopter flight, as well as provide novel algorithms that can be used in the field of wind-energy (wind-farms) and engines (turbo-fan and turbo-propellers). For instance, the wind-turbine industry can use the algorithms for the prediction of wind-farm wake effects. The ship industry requires propellers models. The aerospace industry could benefit from the NLFD approach for turbopropellers/turbo-jet engines. The newly created drone market, when regulated, will need to examine wake effects. Finally, the technology can serve the civil as well as the military sectors for more secure and efficient air operations.
Programme
Collaborative Research and Development Grants
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
486001-2015
Name nom
Laurendeau, Eric
Department département
Génie mécanique
Organization id
64
Institution établissement
École Polytechnique de Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2015
Award amount
133978
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2203
Research subject group en
Fluid mechanics
Research subject group fr
Mécanique des fluides
Research subject en
Modelling, simulation
Research subject fr
Modélisation et simulation
Partie
2
Nb partie
3
Application title
Aerodynamic flow modeling for helicopters landing on ships
Keyword
NSERC
Application summary
Flight simulation of aircraft is a well-established field providing excellent value/price ratio to the community. Flight simulators for airplanes and helicopters allow efficient pilot training (time and costs) while reducing risks of losing an aircraft or worse, pilots. This project aims at increasing the fidelity of aerodynamic models used in real-time flight simulation packages for helicopter landing on ships. The models will be of mixed-fidelity: the inviscid flow will be modeled via Vortex Lattice methods, while viscous flows will be modeled via Unsteady Reynolds-averaged Navier-Stokes (URANS) methods. In particular, emphasis will be placed on rotor flow modeling with periodic motions. The effects of compressibility, transonic flow conditions, boundary-layers, and tip vortex will be examined, as well as the effects of ship wakes by a collaborative approach. Prof. Laurendeau's team at Polytechnique Montréal will examine the time-accurate inviscid models on Central Processing Units (CPU)/Graphics Processing Units (GPU) and on rotor flow models via the actuator disk boundary conditions while Prof. Nadarajah's team at McGill University will concentrate on periodic viscous flow models. CAE will examine the ship wake model with a commercial 3D flow solver to provide information on ship wakes.The project will provide training for 2 M.sc., 2 Ph.D. and 1 Post-Doctoral student in the area of real-time aerodynamic flow models. The results will increase CAE's flight simulation capabilities for helicopter flight, as well as provide novel algorithms that can be used in the field of wind-energy (wind-farms) and engines (turbo-fan and turbo-propellers). For instance, the wind-turbine industry can use the algorithms for the prediction of wind-farm wake effects. The ship industry requires propellers models. The aerospace industry could benefit from the NLFD approach for turbopropellers/turbo-jet engines. The newly created drone market, when regulated, will need to examine wake effects. Finally, the technology can serve the civil as well as the military sectors for more secure and efficient air operations.