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Cranfield University's research in computational fluid dynamics (CFD), turbulence models, studies of instabilities and the development of multi-scale methods has reduced the computational uncertainty in the modelling and simulation used by the Atomic Weapons Establishment (AWE) to support the safety and performance of nuclear weapons.
Cranfield's research in compressible turbulent flow for Low Mach numbers is now employed to increase accuracy in CFD codes employed by the German Aerospace Agency DLR, Pennsylvania State University, and the French Commissariat a l'Energie Atomique, which use this work to model flows ranging from turbulent mixing through inertial confinement fusion (ICF) to scramjets.
Research carried out at the University of Leeds has led to the development of a system for predicting severe air turbulence at airports and elsewhere. The research modelled highly localised `rotor streaming' turbulence which is too small-scale to predict using today's numerical weather prediction models. The Met Office now uses the highly efficient 3DVOM computer prediction model, based on the Leeds research, to improve its operational weather forecasting, especially for providing warnings of `gustiness' to the public and airports and to highlight risks of overturning of high-sided vehicles. In addition, the model is used by forecasters to predict dangerous turbulence at Mount Pleasant Airport in the Falkland Islands, and has led to the prevention of around five flight diversions per year at an estimated cost saving of £1.25 million.
Work by the University of Southampton's Aerodynamics and Flight Mechanics research group (AFM) has led to advances in the field of Computational Fluid Dynamics, a key element of the accurate and cost-effective modelling of airflow and turbulence. New techniques have been incorporated in commercial software releases (e.g. CD-adapco's Star-CD v4) and adopted by leading design and engineering firms (e.g Arup, Buro Happold), giving UK businesses a significant edge over their international competitors. Specifically,
The techniques have been increasingly influencing the design of wind-sensitive structures by facilitating the faster, cheaper and more precise prediction of factors such as peak wind loading and pollutant dispersion.
Research undertaken in the University of Cambridge Department of Physics has provided benchmark data on, and fundamental physical insights into, the high strain-rate response of materials, including powdered reactive metal compositions. The data have been used widely by QinetiQ plc. to support numerical modelling and product development in important industrial and defence applications. One outcome has been the development of a reactive metal perforator for the oil industry which significantly outperforms conventional devices. These devices `perforate' the region around a bore-hole, thereby substantially enhancing recovery, particularly in more difficult oil fields, and extending their economic viability. Over a million perforators have been deployed since their introduction in 2007.
Our research has been key to the development of investor confidence in an emerging UK tidal stream industry. We have contributed to the development and validation of commercial and open- source software for tidal stream system design and our expertise has been instrumental to the successful delivery of major objectives of two national industry-academia marine energy projects commissioned by the Energy Technologies Institute (ETI). Taken together, these outcomes have reduced engineering risks that had been of concern to potential investors. Investor confidence in tidal energy has been increased, as highlighted by Alstom's £65m acquisition of a turbine developer following a key outcome of the ETI ReDAPT project.
Our flow modelling and process optimisation research has improved significantly the scientific understanding of key industrial coating, printing and droplet flow systems. We have implemented our research findings in software tools for staff training and process optimisation which have enabled: (i) the worldwide coating industry to improve the productivity and sustainability of their manufacturing processes; (ii) [text removed for publication]; (iii) a major automotive supply company to develop an award-winning droplet filtration system for diesel engines. [text removed for publication].
Data assimilation is playing an ever increasing role in weather forecasting. Implementing four- dimensional variational data assimilation (4DVAR) is part of the long term strategy of the UK Met Office.
In this case study, an idealised 4DVAR scheme, developed by a team from the Universities of Surrey and Reading working with the UK Met Office, based on the integration of Hamiltonian dynamics and nonlinearity into data assimilation, has now been taken up by the Met Office. It is being used to evaluate options for improving operational 4DVAR. The simplicity of the scheme developed by this team has facilitated careful analyses of some generic problems with the operational model. The outcome includes direct impact on the environment and indirect impact on the economy, both through improvements in weather forecasting.
Using advanced mathematics and numerical modelling we have demonstrated how fundamental understanding of laminar-turbulent transitions in fluid flows can save energy. From 2008 we helped the cleantech company, Maxsys Fuel Systems Ltd, to understand and improve their technology and demonstrate to customers how it can reduce fuel use by 5-8%. Customers including Ford Motor, Dow Chemical and Findus testify to the impact from financial savings and reduced carbon emissions obtained by installing Maxsys products on industrial burners used widely in many industrial sectors including automotive, bulk chemicals and food. In 2010, Selas Heat Technology Company bought the Maxsys brand to invest in this success.
Large-amplitude horizontally propagating internal solitary waves commonly occur in the interior of the ocean. This case study presents evidence to demonstrate the impact of research conducted by Professor Grimshaw at Loughborough University on the development and utilisation of Korteweg- de Vries (KdV) models of these waves, which has formed the paradigm for the theoretical modelling and practical prediction of these waves.
These waves are highly significant for sediment transport, continental shelf biology and interior ocean mixing, while their associated currents cause strong forces on marine platforms, underwater pipelines and submersibles, and the strong distortion of the density field has a severe impact on acoustic signalling.
The theory developed at Loughborough University has had substantial impact on the strategies developed by marine and naval engineers and scientists in dealing with these issues.
Our research since 1993 has led directly to demonstrable improvements in the physical representation of atmospheric particulates in the suite of Met Office numerical weather prediction (NWP) and climate models. These models have had enormous reach and significance across the REF period in both public sector and commercial Met Office activities. Our measurements impact directly on the model prediction of air quality, extreme pollution events (for fire brigade, police and public agencies), visibility, cloud cover, rainfall, and snowfall (for defence and the public weather service, commercial aviation, utilities, road and rail sectors).