UCL MechEng develops droplet tracking robot helping to discover how Covid spreads
Diagram showing the spread of droplets Scientists at from UCL Mechanical Engineering and UCLH studying how the virus spreads have developed…Read more
Additive manufacturing (AM) is an emerging digital manufacturing technology that produces components with complex shapes. For metals, a key AM process is laser powder bed fusion (LPBF) technology, which fuses powder particles into components, layer-by-layer, directly from a digital file. Enabling powder recycling (or reuse) is a key driver to make LPBF sustainable and cost-effective. However, the impact of recycled and reused powder on product quality is not well understood. There are a multitude of factors to consider: oxygen pick-up, powder contaminations, and moisture. This project will use world leading X-ray techniques (laboratory and synchrotron) to gain a better fundamental understanding of the impact of these factors on the properties of AM components. You will be working with Carpenter Additive (CA) – a world-leading powder manufacturer with a 20% global powder market share, who are co-funding the project.
This project is integrated with the UK’s hub for Manufacturing with Advanced Powder Processes (www.mapp.ac.uk). The PhD research will be based at the Harwell Campus, working in the UCL Materials, Structures, and Materials group at Harwell (MSM@H). You will have access to use advanced characterisation facilities at the Harwell Campus (https://bit.ly/Harwell_campus), UCL Bloomsbury Campus, Henry Royce Institute (https://bit.ly/HenryRoyceInstitute), and CA’s research and development facilities.
Applicants should ideally have a first-class, or equivalent, undergraduate degree in Chemistry, Physics, Materials Science and Engineering, or a related discipline. Excellent organisational, interpersonal, and communication skills, along with a stated interest in interdisciplinary research, are essential. Ideally, you would have experience in one, or more, of the following:
• Additive manufacturing
• Image analysis and/or X-ray imaging
• Matlab and Python programming