In this project, you will develop a predictive model of the material response to high temperature processing. You will need to develop skills for both forming and heat treatment simulation in addition to an in depth understanding of the physical metallurgy of steels for the nuclear sector.
An increase in demand for yet ever larger components for high integrity applications is leading to a reduction in the margins for achieving mechanical properties in alloys that require hot forming to refine as cast structures. For some materials, this can be as simple as refining the grain structure to improve proof stress as per Hall-Petch. For more complex materials, where properties are achieved through controlled heat treatments, the pre-quench structure can have an effect on the transformation kinetics. Understanding the evolution of the grain structure from casting to final heat treatment is key to optimising properties.
Working within an immersive digital twin framework, you will establish a methodology to accurately predict the grain size distribution of stainless and low alloy pressure vessel steels from ingot and component casting, through complex open die forging operations, and subsequent heat treatments to make location specific predictions of mechanical performance. The predictions are critical to establishing the manufacturing routes of these parts so that strict high integrity requirements are achieved
The modelling will apply principles of chemical thermodynamics to calculate the kinetics of solid-state phase transformations and capture the competition between multiple stable and meta-stable phases. Statistical models will be developed that can be coupled with component-scale simulations of heat transfer and processing. The aim is to capture the growth and recrystallisation of austenite in addition to the subsequent formation of ferrite, bainite, and martensite as a function of the thermo-mechanical treatment within a formulation that can be integrated into process models.
Materials characterisation will be undertaken in world-class facilities offered by the Henry Royce Institute and Sorby Centre at the University of Sheffield. You will explore and develop understanding of the implications of your findings on the safety assessment of these components.
We welcome expressions of interest and enquiries by email ([Email Address Removed]) throughout the application process; however, a formal application is required before you can be considered.
Applications should be submitted through the University system by using our standard online PhD application form. Please indicate that you are applying for this advertised post.