Computational Framework for Metal Forming of High Strength Alloys
Dr Amir Siddiq
Dr M Kartal
Applications accepted all year round
Self-Funded PhD Students Only
Conventional metal forming processes involve high cost and lead times because of design and manufacturing of product specific tooling for new materials and parts. In some cases macro scale models are used to perform virtual experiments, however such macro scale models are not based on realistic physical mechanisms and thus predictions aren’t accurate.
The proposed Phd work is a part of the bigger project whose aim is to develop a physics based multiscale computational framework which accounts for real life physical mechanisms observed during experiments.
Recent experimental studies [1-4] have shown that high strength aerospace alloys show extensive twinning and lattice rotation during deformation while some of the alloys show deformation induced phase transformation causing a change in deformation behaviour.”
Things get more complicated once damage starts to nucleate and start to form microvoids, and cracks. The evolution of these defects and foreign particles changes the evolution of phase transformation and vice versa.
Therefore, it is necessary to develop a realistic multiscale computational framework which can take into account the actual microstructural data from experiments and predict the microstructure evolution along with damage nucleation and propagation in such materials during metal forming process.
This PhD work will be aimed at developing a multiscale computational framework to account for the effect of damage nucleation and evolution on phase transformation and transformation induced plasticity and vice versa during metal forming processes.
Candidates should have (or expect to achieve) a UK honours degree at 2.1 or above (or equivalent) in Mechanical, Manufacturing Engineering or Material Science.
Essential background: Knowledge of CAD and FE based modelling and Forming processes, Material Characterisation, Computational Mechanics, Crystal Plasticit.
• Apply for Degree of Doctor of Philosophy in Engineering
• State name of the lead supervisor as the Name of Proposed Supervisor
• State ‘Self-funded’ as Intended Source of Funding
• State the exact project title on the application form
When applying please ensure all required documents are attached:
• All degree certificates and transcripts (Undergraduate AND Postgraduate MSc-officially translated into English where necessary)
• Detailed CV
Informal inquiries can be made to Dr A Siddiq ([Email Address Removed] ) with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Postgraduate Research School ([Email Address Removed])
This project is advertised in relation to the research areas of the discipline of Solid Mechanics. The successful applicant will be expected to provide the funding for Tuition fees, living expenses and maintenance. Details of the cost of study can be found by visiting https://www.abdn.ac.uk/study/international/tuition-fees-and-living-costs-287.php. THERE IS NO FUNDING ATTACHED TO THIS PROJECT.
 A. Siddiq, T. El Sayed, Ultrasonics, 52, 521-529, 2012.
A. Siddiq, T. El Sayed, Computational Materials Science, 51, 241-251, 2012.
 A. Siddiq, R. Arciniega, T. El Sayed, 49, 185-195, 2012.
 U. B. Asim, M. A. Siddiq, M. E. Kartal, Computational Materials Science 161, 346-350, 2019.
How good is research at Aberdeen University in General Engineering?
FTE Category A staff submitted: 38.60
Research output data provided by the Research Excellence Framework (REF)
Click here to see the results for all UK universities