Future Machining Technologies - exploring the potential of data collection and machine learning for additive and subtractive processes
Machining is one of the most dominant manufacturing process used for manufacturing precision functional parts across various industries. However, due to the mechanical nature of the process, its application is limited when dealing with advanced materials with enhanced mechanical properties such as alloys and composites used in aerospace industry.
The Advanced Machining Processes and Systems research team is leading research in innovative manufacturing processes such as cryogenic machining and hybrid manufacturing technologies combining the strengths of additive and subtractive processes.
There is an opportunity for a PhD project in Future Machining Technologies using recent advances in science and technology. The project will explore the potential of data collection and machine learning for additive and subtractive processes for manufacturing parts from special alloys and involves developing new concepts of cutting tools, designing new processes, sensoring, concurrent simulation, machining trials, workpiece surface quality analysis (e.g. metallurgy, integrity, residual stresses), followed by investigations on innovative methods to evaluate the machinability of advanced materials.
The successful candidate will receive appropriate training on using various equipment and technologies for this project such as CNC machine tools, piezoelectric material development, metal additive manufacturing, Scanning Electron Microscopy, etc. and will benefit from interactions with various industrial partners.
Successful applicants will ideally have graduated (or be due to graduate) with an undergraduate Masters first class degree and/or MSc distinction (or overseas equivalent). Any English language requirements must be met at the deadline for applications.
Informal enquiries should be directed to Dr Alborz Shokrani ([Email Address Removed])
Formal applications should be made via the University of Bath’s online application form for a PhD in Mechanical Engineering. Please ensure that you state the full project title and lead supervisor name on the application form.
More information about applying for a PhD at Bath may be found here:
Anticipated start date: 30 September 2019
Funding will cover Home/EU tuition fees, a maintenance stipend (£14,777 pa (2018/19 rate)) and a training support fee of £1,000 per annum for 3.5 years.
How good is research at University of Bath in Aeronautical, Mechanical, Chemical and Manufacturing Engineering?
FTE Category A staff submitted: 61.00
Research output data provided by the Research Excellence Framework (REF)
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