High spectral efficiency is the holy grail of wireless networks due to the well-known scarcity of radio spectrum. The successive introduction of advanced communication techniques enabled by the massive increases in processing power over the last few decades has enabled a progressive rise in link spectral efficiency, which in emerging systems seems to be approaching its limits.
This research, conducted using sociological methods, investigates how these volunteer workers of railway sector construct safety in their volunteering environment.
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 primary focus of the programme proposed here is to build across two universities (Strathclyde and Edinburgh) a world leading UK research, development and applications capability in the field of in-situ chemical and particulate measurement and imaging diagnostics for energy process engineering. Independently, the two university groups already have globally eminent capabilities in laser-based chemical and particulate measurement and imaging technologies. They have recently been working in partnership on a highly complex engineering project (EPSRC FLITES) to realise a chemical species measurement and diagnostic imaging system (7m diameter) that can be used on the exhaust plume of the largest gas turbine (aero) engines for engine health monitoring and fuels evaluation. Success depended on the skills acquired by the team and their highly collaborative partnership working. A key objective is to keep this team together and to enhance their capability, thus underpinning the research and development of industrial products, technology and applications. The proposed grant would also accelerate the exploitation of a strategic opportunity in the field that arises from the above work and from recent recruitment of academic staff to augment their activities. The proposed programme will result in a suite of new (probably hybrid) validated, diagnostic techniques for high-temperature energy processes (e.g. fuel cells, gas turbine engines, ammonia-burning engines, flame systems, etc.).
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.
