|Funding for:||UK Students, EU Students|
|Funding amount:||Stipend: £18,009 for 4 years|
|Placed On:||23rd June 2022|
|Closes:||21st September 2022|
The application of data science principles is accelerating in the manufacturing sector and the vision for this project is for ‘right first time’ intelligent processing. This is challenging in metal forming due to the complex interrelationship between the influencing factors. This project will address some of this challenge by developing a digital twin for sheet bending using numerical techniques with validation in collaboration with parallel experimental programmes.
This fully funded PhD studentship is an exciting opportunity to radically change the sustainability and efficiency of manufacturing processes. The successful candidate will work at WMG, University of Warwick to apply Data science principles to manufacturing and forming, in close partnership with Tata Steel UK (https://www.tatasteeleurope.com).
Sheet bending is a common metalforming process in the transport sector and is intrinsically linked to process set-up, sheet surface quality and the bulk properties of the steel. However, it is highly susceptible to ‘springback’, which detrimentally affects the final dimensions of the component and to cracking failure. This research will bring about new levels of efficiency and sustainability by investigating the digitisation of the bending process. This ICase PhD will run alongside an existing Tata Steel PhD project aimed at developing a physical, instrumented bending capability at WMG, Warwick.
Funding Source: EPSRC iCase
Stipend: £18,009 for 4 years
Supporting company: Tata Steel
Supervisor: Dr. Sumit Hazra and Dr Michael Auinger
Available to UK/EU nationals
Start date: October 2022
To apply please complete our online enquiry form and upload your CV.
Please ensure you meet the minimum requirements before filling in the online form.
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