SCHOOL OF ENGINEERING

Research Projects

All research projects at the School of Engineering. You can search keywords within Project title and filter by Research Institute.

We also have many exciting Engineering PhD Opportunities for postgraduate students looking to join the School.

Project Title	Principal Supervisor	Research Institutes	Project Summary
A novel diagnostic tool: from structural health monitoring to tissue quality prediction	Dr Pankaj Pankaj	Bioengineering	As quality of life constantly improves, the average lifespan will continue to increase. The bad news is that tissue degradation due to wear and tear in an aged body is inevitable and is different from person to person. Fortunately recent advances in science and technology have enabled us to work towards personalised medicine. This project, by an interdisciplinary team from four different UK Universities (Liverpool, Heriot Watt, Durham and Edinburgh) with distinct areas of expertise, aims to predict patient-specific tissue quality which is essential in devising treatments plans. While our primary concern in this study is the bone tissue, the developed framework will apply to other tissues having porous or complex microstructure.
A multi-scale approach to characterising ﬂuid contribution to conductive heat transfer in dense granular systems	Prof. Jin Ooi	Infrastructure and Environment	Heat transfer in granular materials is a common occurrence in many industrial applications. One such application is the heating of recycled asphalt product (RAP).
A multi-scale approach to characterising fluid contribution to conductive heat transfer in dense granular systems	Prof. Jin Ooi	Infrastructure and Environment	For granular materials with low thermal conductivity heat transfer occurs through interstitial gases as well as through physical contacts. Existing particle based models are ill suited to dense systems so a multi-scale approach has been used to correlate the local packing structure to the gas contribution to conductive heat transfer in dense granular systems.
A multi-scale analysis of the inﬂuence of particle shape on the mechanical response of granular materials	Dr. Stefanos Papanicolopulos	Infrastructure and Environment	The principal aim is to characterise the flow properties of dense granular systems. In particular, the influence of different particle-shape representation techniques in the Discrete Element Method (DEM) is assessed. Additionally, experiments in a silo centrifuge device to determine the bulk response of granular assemblies under realistic stress states are being carried out. This work is part of T-MAPPP (Training in Multiscale Analysis of multi-Phase Particulate Processes), an FP7 Marie Curie Initial Training Network (https://www.t-mappp.eu).

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