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Large-scale multifidelity, multiphysics, hybrid reynolds-averaged navier-stokes/large-eddy simulation of an installed aeroengine

Accepted version
Peer-reviewed

Repository DOI


Type

Article

Change log

Authors

Tyacke, JC 
Mahak, M 
Tucker, PG 

Abstract

The aerodynamics and also noise produced by aeroengines is a critical topic in engine design. Hybrid Reynolds-Averaged Navier-Stokes-Large-Eddy Simulation (RANSLES), is used to investigate the influence of upstream internal geometry on jet flow and noise. The methods are validated using an isolated nozzle. Internal geometry is added using approximated Immersed Boundary Methods (IBMs) and Body Force Methods (BFMs) reducing grid complexity and cost. Installed coaxial nozzles including an intake, wing and flap and internally, the fan, outlet guide vanes (OGVs) and other large features are modelled. These large scale multi-fidelity, multi-physics calculations are shown to reveal substantial new aeroacoustic insights into an installed aeroengine. The turbulence generated internally introduces a complex unsteady nozzle exit flow. This accelerates inner shear layer development moving it one jet diameter upstream and reduces the potential core length by 5%. For the more intense outer shear layer, the effect appears secondary.

Description

Keywords

4012 Fluid Mechanics and Thermal Engineering, 4007 Control Engineering, Mechatronics and Robotics, 40 Engineering, 4001 Aerospace Engineering

Journal Title

Journal of Propulsion and Power

Conference Name

Journal ISSN

0748-4658
1533-3876

Volume Title

32

Publisher

American Institute of Aeronautics and Astronautics (AIAA)
Sponsorship
Engineering and Physical Sciences Research Council (EP/I010440/1)
Engineering and Physical Sciences Research Council (EP/G027633/1)
This work made use of the facilities of HECToR, the UK’s national high-performance computing service, which is provided by UoE HPCx Ltd at the University of Edinburgh, Cray Inc and NAG Ltd, and funded by the Office of Science and Technology through EPSRC’s High End Computing Programme. We also acknowledge PRACE for awarding us access to resource HERMIT based in Germany at HLRS Stuttgart. We also acknowledge funding under the EPSRC grant EP/I010440/1.