Reference number: SCEBE/21SF/007/AAG
Aim and Scope
The growth of novel materials for Medical and Aerospace industries dictates the need for the development of advanced manufacturing process. Many of these novel materials are titanium alloys due to titanium’s low density, high strength, and corrosion resistance. However, these excellent material properties also make it difficult to machine into complex-shaped components or parts with specialised features, such as high-aspect-ratio holes. Electrochemical Machining (ECM) is a non-conventional process that is able to machine these specialised materials, however when used in titanium alloys, several problems arise impeding reaching high machining rates.
The School of Computing, Engineering and Built Environment at GCU in their compromise with the development of sustainable environment via efficient systems is aiming to optimise the ECM process applied to titanium alloys. In particular, for the machining of high-aspect-ratio features vastly required in diverse applications such as injection nozzles, cooling channels and biomedical implants. This objective will be achieved by exploring the use of a sustainable electrolyte (non-acidic), vibrating tools and different machining orientation approaches. The highly interdependent machining parameters are expected to be defined based on Multiphysics simulations and the use of the emerging technologies of machine learning and deep learning.
The successful candidate will have a BEng(Hons) or MEng in Chemical/Mechanical/Manufacturing Engineering 2.i or better. Knowledge of computational tools (CAD, FEA, COMSOL) is essential.
To apply, please select the relevant application type below:
· As a full-time student: https://evision.prod.gcu.tribalsits.com/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=D27ENGXXXFT&code2=0006
· As a part-time student: https://evision.prod.gcu.tribalsits.com/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=D27ENGXXXPT&code2=0006
Continue with Facebook
