PhD Studentship: Metal 3D-printing: a simulation and prediction model for dimensional accuracy
This project offers a chance to work on a truly disruptive research project in the high-value manufacturing, and is jointly sponsored (at EU/UK rates) by the additive manufacturing research group at Loughborough University (one of top-ten rated university in England for research intensity), and the world’s leading LCD 3D printer manufacturer, Photocentric Ltd.
Metal 3D-Printing is growing rapidly, and it is expected to reach $12 billion in 2028. Photocentric has invented a novel metal stereolithography (SLA) 3D printing technique, which uses visible light emitted through the LCD screen to cure the metal-polymer resin slurry to print green metal components.
The focus of this project is to optimise 3D-printing, debinding and sintering parameters to enhance the highest dimensional accuracy of the sintered metal components.
The objectives of this research are:
1. Optimise SLA 3D-print and post-printing thermal processes to enhance dimensional accuracy.
2. Design and verify an FEM simulation system to model deformation in thermal processing of the 3D-printed parts
3. Design an verify an artificial intelligence (AI) system where the machine is trained by the outputs from the simulation modelling.
Loughborough University Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.
Find out more:
Please contact Dr Ehsan Sabet ([Email Address Removed]) for further information.
Entry requirements Applicants should have at least a 2:1 Honours degree (or equivalent) in mechanical engineering, product design engineering, manufacturing, material science, metallurgy, or a related subject, with experience in FEM summations and material characterisation. Knowledge of SLA 3D printing and artificial intelligence is desirable, but not necessary for this research as the candidate will receive trainings on these subjects and will be expected to self-educate during the first year of the research.
If successful, candidates will be awarded a 3-year school studentship providing a tax-free stipend and tuition fees at the UK/EU rate (currently £15,009 and £4,327, respectively, in 2019-20 which are likely to rise by 2020/21). Non-EU-nationals may apply but the studentship will cover the cost of the international tuition fee only.
Successful candidates will be notified by 26th March 2020.
Contact details Name: Dr Ehsan Sabet
Email address: [Email Address Removed]
How to apply All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select ‘Mechanical and Manufacturing Engineering’. Please quote reference number: SAM37.
Applicants who apply for this project will be considered on a competitive basis in March 2020 against candidates shortlisted for this and other projects with the advert reference beginning ‘SAM’. Early submission is advised, and a complete application must be received before the advert’s closing date.