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4 year Engineering Doctorate (EngD): Developing a knowledge based engineering (KBE) system for machining tool path optimisation (Sponsor: AMRC with Boeing)

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  • Full or part time
    Dr Marshall
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Start date: 1st September 2016
Stipend: £18,000 pa plus tuition fees paid at Home/EU rates

The University of Sheffield’s Advanced Manufacturing Research Centre and our industrial partners are seeking an EngD to design and develop a Knowledge Based Engineering (KBE) system. The system will be used for the capture and access of feature and material based state-of-the-art machining strategies; and will allow the automated creation of tool paths from the data.

The focus of the EngD will be to develop an expert system that can identify appropriate CAM cycles for CAD models. The system will be integrated at the AMRC with existing software systems (e.g. CATIA).

The resulting system will have the capacity to perform feature recognition on native CAD models, recommend optimum machining strategies and parameters for these features and then automatically create the selected machining operation in CAM.

This project will deliver a capability that will underpin and accelerate the development of highly productive and material / feature specific machining strategies. The system will enable AMRC staff and partners to record, access and extrapolate state of the art machining strategies, tooling and cutting parameters.

The EngD will spend approximately 25% of their time at the main University of Sheffield campus, with the research element mainly take place at the AMRC’s state-of-the-art facilities on the Advanced Manufacturing Park at Catcliffe, near Sheffield.

Applicants must have, or expect to get, a good Masters-level degree (e.g. 1st or 2.i MEng degree or MSc with Merit) or an exceptional BEng, in a relevant science or engineering subject such as applied mathematics, statistics, physics, electrical and electronic engineering, systems and control engineering, mechanical engineering, materials science and engineering, or computer science.

Applicants should have coding experience: familiarity with some/all of the following would be advantageous: Visual C#, ASP.NET, WPF, WCF and SQL server. Familiarity with CAD/CAM software and/or machining would also be useful. You should be enthusiastic about research with an interest in technology development and innovation in manufacturing.

Funding Notes

Due to EPSRC residency requirements, this project is open only to UK and EU applicants who have been resident in the UK for at least 3 years immediately preceding the start of the course (see How to Apply section).

Candidates must also be able show that their English language proficiency is at a level which allows them to successfully complete the EngD. All applicants require an English language qualification, typically a GCSE or an IELTS test (a score of 7 or above is required, with a minimum of 6 in each component).

How good is research at University of Sheffield in Aeronautical, Mechanical, Chemical and Manufacturing Engineering?
Mechanical engineering and Advanced manufacturing

FTE Category A staff submitted: 44.60

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities
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