Projects
Projects: Projects for Investigator |
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| Reference Number | EP/R030340/1 | |
| Title | PyFR: Towards Industry and Exascale | |
| Status | Completed | |
| Energy Categories | Renewable Energy Sources(Wind Energy) 5%; Energy Efficiency(Transport) 5%; Not Energy Related 90%; |
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| 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 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 | Process engineering | |
| Region | London | |
| Programme | NC : Engineering | |
| Investigators | Principal Investigator | Dr P E Vincent , Aeronautics, Imperial College London |
| Industrial Collaborator | Project Contact , Oak Ridge National Laboratory, USA Project Contact , MBDA UK Ltd Project Contact , BAE Systems Integrated System Technologies Limited Project Contact , MTU Aero Engines AG, Germany Project Contact , Ove Arup & Partners Ltd Project Contact , Massachusetts Institute of Technology (MIT), USA Project Contact , Zenotech Limited Project Contact , Stanford University, USA Project Contact , Dummy Organisation Project Contact , NVIDIA Corporation, USA Project Contact , Kitware, Inc, USA Project Contact , National Aeronautics and Space Administration (NASA), USA Project Contact , Pointwise Inc, USA |
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| 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. | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 07/02/19 | |
