Fully funded Four Year EngD Studentship sponsored by AMRC with Boeing and EPSRC

University of Sheffield

Developing a knowledge based engineering (KBE) system for machining tool path optimisation

Project Description

The University of Sheffield’s AMRC 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.

Entry requirements and eligibility

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).

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.

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.

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).

If in doubt about any aspect of Eligibility, please email idc-machining-science@sheffield.ac.uk for clarification.

How to Apply

For an informal discussion, in the first instance please contact the IDC Centre Team via idc-machining-science@sheffield.ac.uk.

See How to Apply and follow the instructions carefully.

Partners: University of Sheffield AMRC with Boeing & EPSRC

Start date: 3 September 2017

Duration: 4 years

Please check eligibility requirements before applying.

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Type / Role:

PhD

Location(s):

Northern England