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Exploring the productivity benefits of efficient CAD models (WS21)

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  • Full or part time
    Dr IJ Graham
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

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: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/

Full Project Detail

Our research continues to identify and quantify inefficiencies within industrial parametric CAD models. This is a real-word problem, and one that will increase as we rely more on cyber-physical systems and virtual prototyping. Many projects aim to improve CAD model QUALITY; we also think it is crucial that parts are modelled at the optimum EFFICIENCY.
Driving the application of our recent discoveries in CAD model efficiency, this PhD will investigate user interactions with industrial CAD parts throughout the product development process at levels of detail not attempted before. Understanding the operations carried out by real users over the life of a CAD part will enable predictions of efficiency-benefits in real-world scenarios to be quantified, using our novel model-efficiency metrics.
The PhD will focus on longitudinal data acquisition and processing. It will form the bridge to industry, informing decisions by design managers, and lead to improved efficiency and productivity. You will work alongside the research theme founder, a CAD professional with 20+ years’ expertise in this area and currently supported by Triumph Motorcycles, providing valuable knowledge transfer, teamworking and networking opportunities.

Find out more:
https://dspace.lboro.ac.uk/dspace-jspui/handle/2134/36155

Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Computer Science, Engineering or a related subject. The project spans analytics and CAD, thus we encourage applications from computer scientists who are interested in building their knowledge of the CAD and engineering domains, and from engineers with programming and data analysis skills.

Funding Notes

Please note that studentships will be awarded on a competitive basis to applicants who have applied to this project and other advertised projects starting with advert reference ‘WS’ for the School of Mechanical, Electrical and Manufacturing Engineering.
If awarded, each 3-year studentship will provide a tax-free stipend of £15,009 p/a, plus tuition fees at the UK/EU rate (currently £4,327 p/a). While we welcome applications from non-EU nationals, please be advised that it will only be possible to fund the tuition fees at the international rate and no stipend will be available. Successful candidates will be notified by 30th September 2019.



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