Projects
Projects: Projects for Investigator |
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| Reference Number | EP/K003976/1 | |
| Title | Multi-scale Exploration of MultiPhase Physics In FlowS (MEMPHIS) | |
| Status | Completed | |
| Energy Categories | Fossil Fuels: Oil Gas and Coal(Oil and Gas, Other oil and gas) 25%; Not Energy Related 75%; |
|
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Chemical Engineering) 50%; ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 50%; |
|
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Dr OK Matar No email address given Chemical Engineering Imperial College London |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 September 2012 | |
| End Date | 31 December 2017 | |
| Duration | 64 months | |
| Total Grant Value | £4,968,854 | |
| Industrial Sectors | Chemicals; Manufacturing | |
| Region | London | |
| Programme | NC : Engineering | |
| Investigators | Principal Investigator | Dr OK Matar , Chemical Engineering, Imperial College London (99.994%) |
| Other Investigator | Dr M Simmons , Chemical Engineering, University of Birmingham (0.001%) Professor GF Hewitt , Chemical Engineering, Imperial College London (0.001%) Dr CN Markides , Chemical Engineering, Imperial College London (0.001%) Professor CC Pain , Department of Earth Sciences, Imperial College London (0.001%) Professor B (Barry ) Azzopardi (Dec'd) , Chemical and Environmental Engineering, University of Nottingham (0.001%) Dr P Angeli , Chemical Engineering, University College London (0.001%) |
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| Industrial Collaborator | Project Contact , Johnson Matthey plc (0.000%) Project Contact , BP Exploration Co Ltd (0.000%) Project Contact , CD adapco Group (0.000%) Project Contact , Chevron Energy Technology Company, USA (0.000%) Project Contact , AspenTech Ltd (0.000%) Project Contact , Procter & Gamble Technical Centres Ltd. (0.000%) |
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| Web Site | ||
| Objectives | ||
| Abstract | This project is an opportunity to harness the synergy between world-leading scientists from four prestigious institutions to create the next generation modelling tools for complex multiphase flows. These flows are central to micro-fluidics, virtually every processing and manufacturing technology, oil-and-gas and nuclear applications, and biomedical applications such as lithotripsy and laser-surgery cavitation. The ability to predict the behaviour of multiphase flows reliably will address a major challenge of tremendous economic, scientific, and societal benefit to the UK. The Programme will achieve this goal by developing a single modelling framework that establishes, for the first time, a transparent linkage between input (models and/or data) and prediction; this will allow systematic error-source identification, and, therefore, directed, optimal, model-driven experimentation, to maximise prediction accuracy. The framework will also feature optimal selection of massively-parallelisable numerical methods, capable of running efficiently on 10^5-10^6 core supercomputers, optimally-adaptive, three-dimensional resolution, and the most sophisticated multi-scale physical models. This framework will offer unprecedented resolution of multi-scale, multiphase phenomena, minimising the reliance on correlations and empiricism. The investigators' synergy, and their long-standing industrial collaborations, will ensure that this Programme will result in a paradigm-shift in multiphase flow research worldwide. We will demonstrate our capabilities in two areas of strategic importance to the UK: by providing insights into novel manufacturing processes, and reliable prediction of multiphase flow regime transitions in the oil-and-gas industry. Our framework will be sufficiently general to address a number of other industrial and environmental global challenges, which we detail herein | |
| 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 | 24/09/12 | |
