The proposed UK Consortium on Turbulent Reacting Flows will perform high-fidelity computational simulations (i.e. Reynolds Averaged Navier-Stokes simulations (RANS), Large Eddy Simulation (LES) and Direct Numerical Simulations (DNS)) by utilising national High Performance Computing (HPC) resources to address the challenges related to energy through the fundamental physical understanding and modelling of turbulent reacting flows. Engineering applications range from the formulation of reliable fire-safety measures to the design of energy-efficient and environmentally-friendly internal combustion engines and gas turbines.
The drive to meet the UK’s ambitious deployment targets for offshore renewable energy technologies requires the development of new techniques and technologies to design, build, install, operate, and maintain devices in hostile environments at affordable economic cost with minimal environmental impact. It requires a supply of highly trained scientists and engineers to deliver their skills across the sector. The Universities of Edinburgh, Strathclyde and Exeter together with the Scottish Association for Marine Science and HR-Wallingford form a partnership to deliver the EPSRC/ETI Industrial Doctorate Centre in Offshore Renewable Energy (IDCORE).
This project aims to develop a robust methodology to characterise the grindability of particulate products in milling operations which will in turn provide a step-change in mill fingerprinting and optimisation. This involves developing a “grindability test” to measure the comminution characteristics of the particulates which, when coupled with the computational modelling work to characterise the milling function, will evaluate the milling performance measures including energy utilisation, breakage kernels for scale-up modelling such as population balance model of the mill.
IMPACT is a 5-year, £5.2M research project, funded by an EPSRC Programme Grant, to develop new approaches to cancer treatment, using implanted, smart sensors on silicon, fabricated in the University's Scottish Microelectronics Centre. IMPACT will use miniaturised, wireless sensor chips the size of a grass seed to monitor the minute-to-minute status of an individual tumour. This will allow RT to be targeted in space and time to damage cancer cells as much as possible. The team consists of engineers, chemists, veterinary clinicians, social scientists and human cancer specialists, led by Prof Alan Murray from the University's School of Engineering.
The aim of this project is to gain a better understanding of the nature of the interface between rubber and ice. It is a collaborative project with Michelin. We use tribological testing and materials characterisation techniques in a specially designed cold room facility to do this. Ultimately this knowledge will be used to improve tyre traction on ice.
The aim of this project is to investigate the friction of rubber and tyre treads on snow. It is a collaborative project with Michelin. We use tribological testing and materials characterisation techniques in a specially designed cold room facility to do this. Ultimately this knowledge will be used to improve tyre traction on snow.
Intelligent egress is a novel approach to enhancing evacuations from fire emergencies. It combines sensor-linked simulations and route-planning tools to provide real-time information to occupants on efficient egress. The specific issues associated with disabilities and mobility impairment are addressed. Mechanisms to provide “way finding” information to relevant end users are being studied. Detailed guidance and recommendations on use of such systems will be developed.
LEANWIND is a 4-year project that started in December 2013. It is led by a 31-partner consortium and has been awarded €10 million by the European Commission, but its total value amounts to €15 million.
The primary LEANWIND objective is to provide cost reductions across the offshore wind farm lifecycle and supply chain through the application of lean principles and the development of state of the art technologies and tools.