UKERC Energy Data Centre: Projects

Projects: Projects for Investigator
UKERC Home >> UKERC Energy Data Centre >> Projects >> Choose Investigator >> All Projects involving >> EP/N016483/1
Reference Number EP/N016483/1
Title Tribo-Acoustic Sensors for In-Situ Performance and Inspection of Machine Components
Status Completed
Energy Categories NUCLEAR FISSION and FUSION(Nuclear Fission, Nuclear supporting technologies) 2%;
FOSSIL FUELS: OIL, GAS and COAL(Oil and Gas, Refining, transport and storage of oil and gas) 5%;
OTHER POWER and STORAGE TECHNOLOGIES(Electric power conversion) 3%;
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 Professor R Dwyer-Joyce
No email address given
Mechanical Engineering
University of Sheffield
Award Type Standard
Funding Source EPSRC
Start Date 01 July 2016
End Date 31 March 2022
Duration 69 months
Total Grant Value £1,293,358
Industrial Sectors Aerospace; Defence and Marine; Energy; Healthcare; Transport Systems and Vehicles
Region Yorkshire & Humberside
Programme NC : Engineering
Investigators Principal Investigator Professor R Dwyer-Joyce , Mechanical Engineering, University of Sheffield (100.000%)
  Industrial Collaborator Project Contact , Ricardo AEA Limited (0.000%)
Project Contact , Lubrizol Ltd (0.000%)
Project Contact , Primetals Technologies Ltd (UK) (0.000%)
Web Site
Abstract Engineering machines, from car and planes, to power stations and production lines, have lots of moving parts. The reliability of these parts is key to the function and energy efficiency the machine. It is often these moving parts that fail and frequently that failure is associated with the rubbing surfaces. Machine elements like bearings, gears, seals, and pistons often wear out, exhibit high friction, or seize.Knowing if a machine element is performing at its optimum can save energy and lead to long life. Being able to monitor the components in-situ in a machine can speed up the development cycle time. Further, monitoring performance rather than failure, allows allows the machine operator to plan maintenance. This is particularly important for high capital cost machines, in remote locations, like offshore wind turbines.Current monitoring methods are based around measuring excessive vibration or the noise emitted by a failed component (acoustic emission AE) or by counting wear debris particles in a lubricant. Sensors that measure performance rather than failure, and so can be used to optimise operating parameters would be much more useful. This also opens the possibility of using advanced control based on sensor readings, Many machine components are commodities, and integrating sensors provides a way to add value to what would otherwise be a commodity product.The Leonardo Centre at Sheffield has developed unique methods for measuring machine contacts in-situ. The approaches are based on ultrasonic technologies adapted from the NDT and dynamics communities. By sending ultrasonic pulses through machine components and measuring transmission and reflection we have been able to non-invasively study various tribological machine components. In early work we developed methods to measure the oil film thickness, and the amount of metal contact. This has been well established, validated in laboratory experiments, and applied to journal bearings, trust pads, rolling bearings, pistons, and seals. Several industrial companies have adopted these approaches in their product development cycles.This fellowship seeks to explore new methods to learn more about contacts. Buy using different kinds of ultrasonic waves, transducer topologies, and signal processing we will develop methods to measure contact load, stress history, oil viscosity, and friction. These will be prototyped in the laboratory and we have industrial partners ready to provide field applications. In addition the fellowship seeks to collaborate with academic institutions; firstly to learn new acoustic sensor techniques and secondly to support research into machine element research with the provision of new measurement methods.This will support the Leonardo Centre aim to be, not only the leading centre for ultrasonic measurement in tribology, but to be a key part of the UK's research infrastructure in machine component research and development both in industry and academia.
Publications (none)
Final Report (none)
Added to Database 21/02/19