University of Leeds Featured PhD Programmes
Catalysis Hub Featured PhD Programmes
Engineering and Physical Sciences Research Council Featured PhD Programmes
University of Glasgow Featured PhD Programmes
University of Bristol Featured PhD Programmes

A Data-Driven Approach to Predict the Extent of Surface Oxidation during Hot-Rolling and Annealing of New Steels


Project Description

Sponsor Company: Tata Steel

PROJECT OVERVIEW
The development of new steels to meet modern marked demands cause significant challenges with respect to reduce corrosion during production. Whilst the rolling and coating of flat products, especially for the automotive industry is inevitable, the heating cycles will lead to the formation of oxides at the surface, which in turn lead to a poor surface-finish of the coated product. Hence costly and time consuming techniques are required to prevent oxidation to happen and/or remove the oxides once formed during the process.

The focus on this work particularly deals with the analysis of such corrosion data to identify both the extent of oxidation, caused by a particular alloy composition, as well as the uncertainty of predictions that can be made from such datasets. In view of the vast amount of measurements that can be found within steel industries and the public domain, the analytics will be gradually improved and the correlations between independently reported datasets will be used to identify additional sources of influence, maybe even not yet recognised as such.

Since automotive lightweighting is a promising route to reduce emissions and meet the targets for a green nation, the focus of this study will be on automotive high strength steel grades such as carbon, manganese and aluminium containing alloys and low density steels.

ELIGIBILITY AND DESIRED QUALITIES
Applicants with a bachelors or master’s degree in any of the physical sciences (chemistry, mathematics/statistics, engineering, materials and physics) are welcome to apply. Preferably, the ideal candidate should have some background knowledge on either data analysis, corrosion, programming and/or steel.

FUNDING
This is funded by EPSRC and Tata Steel for 4 years, the 19/20 stipend level will be £15,009 plus an additional top-up of £3,000 so £18,009 in total for 19/20.

To be eligible for this project the successful applicant should have indefinite leave to remain in the UK and have been ordinarily resident here for 3 years prior to the project start-date, apart from occasional or temporary absences. Additional information about this is available on the EPSRC website.

*Please note that the offer of the position is subject to confirmation of funding.

TO APPLY
If you would like to be considered for this position or have any questions please complete our online enquiry form using the "Apply Online" button below.

Funding Notes

This studentship is funded by EPSRC and Tata Steel for 4 years, the 19/20 stipend level will be £15,009 plus an additional top-up of £3,000 so £18,009 in total for 19/20.

To be eligible for this project the successful applicant should have indefinite leave to remain in the UK and have been ordinarily resident here for 3 years prior to the project start-date, apart from occasional or temporary absences. Additional information about this is available on the EPSRC website.

*Please note that the offer of the position is subject to confirmation of funding.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully





FindAPhD. Copyright 2005-2019
All rights reserved.