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Electron backscattered diffraction analysis (ebsd) analysis of thermomechanically processing metals and alloys

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  • Full or part time
    Prof B Wynne
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

This project will use a recently acquired field emission gun (FEG) SEM equipped with EBSD analysis equipment. Recent advances in the EBSD technique, that have significantly improved angular resolution, in conjunction with a FEGSEM have made it a feasible alternative to the TEM as a tool for quantifying deformation microstructure. Parameters such as sub-grain orientation and size, misorientation distribution, misorientation gradients, and orientations and growth rates of recrystallising grains can now be routinely quantified over a statistically significant sample size. Such variables form the basis of the newly developing physically-based equations that describe microstructure evolution in hot-worked metals. Therefore this project will examine the applicability of the EBSD technique for a wide range of thermomechanical processed alloys including aluminium, IF steel and Ti-based alloys.

Funding Notes

Candidates should be self-funded, sponsored, or applying for Scholarships. The University and the Faculty of Engineering award PhD scholarships for Home, EU, and International students on a competitive basis every year. The deadline for Faculty/University Scholarships is February each year - for more information see:

Candidates should have or expect to gain a good Honours degree with 2i or above in Materials Science and Engineering or related discipline.

If English is not your first language then you must have International English Language Testing Service (IELTS) average of 6.5 or above with at least 6.0 in each component.

Related Subjects

How good is research at University of Sheffield in Electrical and Electronic Engineering, Metallurgy and Materials?
Materials Science and Engineering

FTE Category A staff submitted: 34.80

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

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