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Reference Number EP/R030340/1
Title PyFR: Towards Industry and Exascale
Status Completed
Energy Categories ENERGY EFFICIENCY(Transport) 5%;
RENEWABLE ENERGY SOURCES(Wind Energy) 5%;
NOT ENERGY RELATED 90%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Dr P E Vincent
No email address given
Aeronautics
Imperial College London
Award Type Standard
Funding Source EPSRC
Start Date 23 September 2018
End Date 22 March 2022
Duration 42 months
Total Grant Value £1,080,908
Industrial Sectors Defence and Marine; Aerospace
Region London
Programme NC : Engineering
 
Investigators Principal Investigator Dr P E Vincent , Aeronautics, Imperial College London (100.000%)
  Industrial Collaborator Project Contact , Ove Arup & Partners Ltd (0.000%)
Project Contact , BAE Systems Integrated System Technologies Limited (0.000%)
Project Contact , Massachusetts Institute of Technology (MIT), USA (0.000%)
Project Contact , Stanford University, USA (0.000%)
Project Contact , MBDA UK Ltd (0.000%)
Project Contact , Zenotech Limited (0.000%)
Project Contact , National Aeronautics and Space Administration (NASA), USA (0.000%)
Project Contact , Oak Ridge National Laboratory, USA (0.000%)
Project Contact , NVIDIA Corporation, USA (0.000%)
Project Contact , Kitware, Inc, USA (0.000%)
Project Contact , MTU Aero Engines AG, Germany (0.000%)
Project Contact , Pointwise Inc, USA (0.000%)
Web Site
Objectives
Abstract This is an extension of the Fellowship: 'Developing Software for High-Order Simulation of Transient Compressible Flow Phenomena: Application to Design of Unmanned Aerial Vehicles' - EP/K027379/1.Over the past decades, computer simulations of fluid flow have emerged as an important tool for design of complex systems across a range of sectors. It is apparent, however, that for a range of flow problem current generation software is not fit for purpose. Newer software is required, that can make effective use of current and future computing platforms, to perform highly accurate so called 'scale-resolving' simulations of unsteady flow phenomena over complex geometric configurations. Such capability would lead to design of more efficient and capable technology across a range of sectors, including aerospace, defense, architecture, automotive, and green energy.Current activities under award EP/K027379/1 have led to development of PyFR (www.pyfr.org), a new software that can effectively leverage capabilities of massively-parallel computing platforms, with a view to undertaking hitherto intractable simulations of unsteady airflow over complex Unmanned Aerial Vehicle (UAV) configurations. The proposed Fellowship extension will address a range of outstanding issues currently blocking wider industrial adoption of PyFR, taking it further "Towards Industry", as well as addressing a range of issues that will block exploitation of PyFR on next-generation exascale supercomputers, taking it further "Towards Exascale". The proposed Fellowship extension will also look to expand the application space of PyFR beyond just UAVs to a range of sectors, and includes test cases involving flow over turbine blades, missiles, buildings, and submarines.The research program will be lead by Dr. Peter Vincent, a Reader in the department of Aeronautics at Imperial College. It will be undertaken in collaboration with various industrial partners including MTU Aeroengines, MBDA, Arup, BAE Systems Submarines, BAE Systems MAI, NASA Glenn, Nasa Langley, NVIDIA, Pointwise, Kitware, Zenotech, and Oak Ridge National Lab, and with various academic partners including Stanford University, and the Massachusetts Institute of Technology. This assembled team of project partners, comprising a selection of the world's leading companies and elite research institutions, will ensure the project successfully delivers its objectives.
Publications (none)
Final Report (none)
Added to Database 07/02/19