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Centre for Doctoral Training in Ultra Precision Engineering

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Machine learning for automated close-range photogrammetry
Close-range photogrammetry is an optical form measurement technique which relies on detecting and triangulating feature correspondances between a set of photographic images to create a 3D point cloud. Photogrammetry is an attractive form measurement technique due to the relative low cost of the components required when compared to competing technologies, such as fringe projection. The current measurement pipeline is, however, slow and dependant on user input.
Located in PhD / Current PhD Projects / Project pages
XCT calibration via softgauges
X-ray computed tomography (XCT) has been used widely as a non-destructive testing tool in the quality of additive manufactured components. However, the software developed for XCT are mostly used for visualisation purposes, where there is limited understanding of the traceability and uncertainty of the software. This project will develop and validate an XCT soft-gauge framework that will contribute to future XCT calibration process. This proposal follows up a previous short term MRes project that looked into the development of simulation data for software gauge purposes.
Located in PhD / Current PhD Projects / Project pages
High-precision form shape and texture artefacts
High precision manufacturing of components at micro and millimetre scale often require multiplatform manufacturing which may involve various additive and subtractive manufacturing. The quality of such products relies on traceable high accuracy shop floor measuring instruments. Traceability of such instruments is limited to basic calibration routines that certify the axis of the machines, however, this is not enough for the measurement of complex parts with inherited micro geometry.
Located in PhD / Current PhD Projects / Project pages
Additive manufacturing of neuromorphic devices and neural network architectures
The focus of the project is to research the design, additive manufacturing and characterisation of neuromorphic and neural network architectures.
Located in PhD / Current PhD Projects / Project pages
Development of a Novel Atmospheric Pressure Plasma System for the Reduction of Water use in the Cleaning of Mirrors in Concentrating Solar Power Plants
This project aims to investigate and develop the use of atmospheric pressure plasma to clean and condition the surface of CSP mirrors, reducing or possibly even eliminating the need for water for cleaning purposes.
Located in PhD / Current PhD Projects / Project pages
Novel Methods for Compact Readout of Silicon CMOS Quantum Dot Spin Qubits
Quantum computing has the potential to solve problems that are intractable using today’s classical computers, such as simulation of complex systems or large global optimisation problems. Important applications range from discovery of new medicines and functional materials to cryptography and data science. Such algorithms will require millions of quantum bits (qubits) to operate, making scalability a key consideration.
Located in PhD / Current PhD Projects / Project pages
Application and development of Imaging and diagnostics for the real time analysis of metal based additive manufacturing.
Laser powder bed fusion additive manufacturing is an industrially attractive technology due to the geometric freedom in part design and the ability to manufacture components with structures impossible to achieve via conventional machining techniques. The process is unfortunately slow and plagued with defects due to the non deterministic nature of the laser powder interaction. A novel multi beam arrangement has been developed to investigate different conduction mode beam scanning strategies for scaling towards high throughput manufacture.
Located in PhD / Current PhD Projects / Project pages
Microwave atmospheric plasma for surface energy modification and coating
This PhD project involves further development and characterisation of a MW plasma system for the ultra-precision engineering application, and particularly for the modification of surface energy of polymeric materials for manufacturing purposes.
Located in PhD / Current PhD Projects / Project pages
Experimental Investigation of Filament Behaviour in Material Extrusion Additive Manufacturing
Additive manufacturing (AM) is an attractive alternative to conventional manufacturing techniques due to its geometric freedom and versatility. Fused deposition modelling (FDM) is a relatively low cost form of AM, which is able to produce complex features via layer-by-layer extrusion, however, it is commonly characterised by poor quality. This project investigates how the dimensional, geometrical accuracy, and repeatability (precision) of the FDM process could be improved through the evaluation and modifications of its current mechanisms.
Located in PhD / Current PhD Projects / Project pages
Inexpensive and Seamless Orthoses by 3D Printing of Novel Biomimetic Structures and Materials
The aim of the project is to improve the efficacy/comfort and global availability of low-cost orthoses for diverse musculoskeletal and traumatic conditions through 3D printing of novel liquid crystal polymers in biomimetic structures with higher strength and stiffness, and therefore less weight than current 3D printed orthoses.
Located in PhD / Current PhD Projects / Project pages