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Details of Grant 

EPSRC Reference: GR/L17863/01
Title: COMPUTER MODELLING OF FORCED MIXER AERODYNAMICS
Principal Investigator: McGuirk, Professor JJ
Other Investigators:
Page, Professor GJ
Researcher Co-Investigators:
Project Partners:
DSTL - JGS Rolls-Royce Plc (UK)
Department: Aeronautical and Automotive Engineering
Organisation: Loughborough University
Scheme: Standard Research (Pre-FEC)
Starts: 01 November 1996 Ends: 31 October 1999 Value (£): 117,326
EPSRC Research Topic Classifications:
Aerodynamics
EPSRC Industrial Sector Classifications:
Aerospace, Defence and Marine
Related Grants:
Panel History:  
Summary on Grant Application Form
The research aims to develop and test a computational modelling procedure for the simulation of the internal aerodynamics of forced mixer systems, such as are used in several current and future civil aero engine designs. The procedure will be based on the use of unstructured grids to allow fast and easy resolution of the complex geometry of the lobe structures typical of forced mixers. The ability of the mesh to adapt to important flow features will also be developed. Successful prediction of the complex flowfield found in such devices will rest on the use of an advanced turbulence model to capture the strong 3D vortical structure of the flow and the associated mixing processes. Both non-linear eddy viscosity and second-moment closures will be investigated. The resulting computational method will be validated against existing experimental data for lobed mixer flows, as well as new data to be gathered on an engine representative geometry during the course of this project (although not directly as part of the current research). Finally, the research will investigate methods for coupling the predicted aerodynamic and turbulence flow structure at mixer exit with models for the external noise field. All the proposed work will be done in collaboration with other research groups working on separate but related aspects of the same problem, viz, Swansea University (mesh generation), Oxford University (flow solver), Southampton University (noise model), ARA (experimental measurements), and Rolls-Royce, BMW/RR and DRA (measurements and engine-representative mixer design).
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Further Information:  
Organisation Website: http://www.lboro.ac.uk